Mongodbpumper for oracle and mongodb

Author: c | 2025-04-24

MongoDBPumper for Oracle is a handy application designed to help you transfer data between Oracle and MongoDB databases. It provides high-performance data migration functionality between Oracle and MongoDB databases in two directions. With MongoDBPumper GUI wizard you can easily perform data migration between Oracle table and MongoDB

MongoDBPumper for Oracle and MongoDB - CNET Download

In some cases, bothcan be avoided by using embedded documents to model master-detailssituations. But if you need to model many-to-many relationships,you're going to have to add logic to your application to deal withthat, because NoSQL stores don't do that.In general MongoDB gets its performance gains through simplicity. Itprovides less functionality than an RDBMS, and in exchange, a numberof other things emerge. Schema evolution is doable. Data can besharded under the covers. In short, features that make building largescalable web sites easier.You might want to check out some of the introductory talks on the10gen site to see what this is all about: Aug 8, 11:22 am, Sandra Schlichting littlesandr...@gmail.com>wrote:trac...@gmail.comunread,Oct 9, 2013, 3:35:11 AM10/9/13to mongod...@googlegroups.comHi,you may check a tool called mongodbpumper for oracle. As far as I know this tool can perform a quick data migration from oracle to mongodb. thus, you will be able to compare oracle and mongodb in terms of performance.cheers,tracerGer Hartnettunread,Feb 28, 2014, 6:06:12 AM2/28/14to mongod...@googlegroups.comApollo did such a migration and published it as a whitepaper recently. They documented performance and the process they followed. You'll find it at:s.molinariunread,Mar 1, 2014, 5:24:49 AM3/1/14to mongod...@googlegroups.comUm, not really. From what I read, Apollo imported only a small subset of the Oracle data using a python script and formed it to fit in a single collection to see how well Mongo can perform. There is no real details of a migration/ import and no real comparisons to Oracle's performance, other than noting Mongo performed as well or better than their (20 year old?) Oracle system. That white paper is mostly about their findings while testing Mongo. Still, it is an interesting read, but I think will disappoint Sandra, as it doesn't really answer her questions. Some of the things they mention though are also pluses for Mongo like Ease of useQuick

MongoDBPumper for Oracle and MongoDB para Windows

Operation might need to update multiple indexes—often pitting query performance against write performance.Cost. In scenarios where high availability and horizontal scaling are required, the cost associated with running and maintaining a MongoDB cluster—especially in cloud environments—can be significant. The need for lots of RAM and storage can also drive up costs. That’s especially true in high-availability situations where replica databases require an equal number of resources.MongoDB CompatibilityMongoDB is a NoSQL database that works well within that ecosystem, but it’s also built to interact with other types of database management systems through various data integration tools and connectors. This toolset includes an ETL (extract, transform, load) infrastructure for extracting and migrating data out of MongoDB and vice versa. This is useful for sending data to a relational database for reporting and complex data analytics. MongoDB applications can also communicate across different database platforms using REST APIs.Running MongoDB Workloads in Oracle Autonomous DatabaseA good example of MongoDB compatibility is the Oracle Database API for MongoDB, which lets developers use MongoDB's open source tools and drivers connected to an Oracle Autonomous JSON Database. This gives them access to Oracle’s multimodel capabilities and helps them avoid moving data to a separate database for analytics, machine learning (ML), and spatial analysis. Think of Autonomous JSON Database as a multimodal alternative to MongoDB Atlas. Often, few or no changes are required for existing applications.Migrate MongoDB Workloads to Oracle Autonomous JSON DatabaseInstead of accessing MongoDB functionality via APIs, developers can simply migrate their JSON-centric workloads to an Oracle Autonomous JSON Database on Oracle Cloud Infrastructure (OCI). This provides a cloud document database service for JSON-centric applications that features NoSQL-style document APIs (Simple Oracle Document Access, or SODA, and Oracle Database API for MongoDB), serverless scaling, high performance ACID transactions, comprehensive security, and low pay-per-use pricing. There is no downtime because migration from MongoDB to Oracle Autonomous JSON Database is achieved with Oracle Cloud Infrastructure (OCI) GoldenGate.Get Started with Autonomous DatabaseMongoDB users now have a more versatile way to build JSON-centric applications. Oracle Autonomous Database gives developers the flexibility to react to business demands using a single data

MongoDBPumper para Oracle e MongoDB ~ MongoDB Wise

Add authentication to MongoDBThese instructions are for Oracle Linux 7. The commands for other distributions will be different. First install and start MongoDB.Installsudo tee /etc/yum.repos.d/mongodb-org-4.0.repo << EOF[mongodb-org-4.0]name=MongoDB Repositorybaseurl= yum -y install mongodb-orgsudo systemctl start mongodsudo systemctl enable mongodThen create an admin user by first connecting with the mongo cli. Once connected switch to the admin database and run the create user command. Change the PASSWORD below to a secure random password.Create Adminmongouse admin;db.createUser( { user: "admin", pwd: "PASSWORD", roles: [ "userAdminAnyDatabase", "dbAdminAnyDatabase", "readWriteAnyDatabase" ] });After the user has been created edit the MongoDB configuration to enable authorization. The net section should be replaced with the section below.Shellsudo nano /etc/mongod.confsecurity: authorization: enabledCreate Pritunl UserThen create a pritunl user for the prituinl database in the admin database. First connect with the mongo cli using the admin account then switch to the admin database. Change the PASSWORD below to a secure random password. When authenticating from mongo cli tools use --authenticationDatabase admin.If configuring Pritunl Zero or Pritunl Cloud update the name of the database below.Create Usermongo --host subnet.domain.com -u admin --authenticationDatabase adminuse admin;db.createUser({ user: "pritunl", pwd: "PASSWORD", roles: [{role: "dbOwner", db: "pritunl"}]});Test the new use with the command below.Test Usermongo --host mongo-test.silicon.red -u pritunl --authenticationDatabase admin pritunlConnecting to MongoDBWhen configuring Pritunl the username, password and ssl option must be added to the MongoDB uri. Such as mongodb://pritunl:PASSWORD@subnet.domain.com:27017/pritunl?authSource=admin If configuring Pritunl Zero or Pritunl Cloud update the name of the database.Authentication DatabaseIf the authentication user is on a different database the authSource parameter must be included in the MongoDB uri. Such as mongodb://pritunl:PASSWORD@subnet.domain.com:27017/pritunl?authSource=admin" data-testid="RDMD">These instructions are for Oracle Linux 7. The commands for other distributions will be different. First install and start MongoDB.sudo tee /etc/yum.repos.d/mongodb-org-4.0.repo Then create an admin user by first connecting with the mongo cli. Once connected switch to the admin database and run the create user command. Change the PASSWORD below to a secure random password.mongouse admin;db.createUser( { user: "admin", pwd: "PASSWORD", roles: [ "userAdminAnyDatabase", "dbAdminAnyDatabase", "readWriteAnyDatabase" ] });After the user has been created edit the MongoDB configuration to enable authorization. The net section should be replaced with the section below.sudo nano /etc/mongod.confsecurity: authorization: enabledThen create a pritunl user for the prituinl database in the admin database. First connect with the mongo cli using the admin account then switch to the admin database. Change the PASSWORD below to a secure random password. When authenticating from mongo cli tools use --authenticationDatabase admin.If configuring Pritunl Zero or Pritunl Cloud update the name of the database below.mongo --host subnet.domain.com -u admin --authenticationDatabase adminuse admin;db.createUser({ user: "pritunl", pwd: "PASSWORD", roles: [{role: "dbOwner", db: "pritunl"}]});Test the new use with the command below.mongo --host mongo-test.silicon.red -u pritunl --authenticationDatabase admin pritunlWhen configuring Pritunl the username, password and ssl option must be added to the MongoDB uri. Such as mongodb://pritunl:[email protected]:27017/pritunl?authSource=admin If configuring Pritunl Zero or Pritunl Cloud update the name of the database.If the authentication user is on a different database the authSource parameter must be included in the MongoDB uri. Such as mongodb://pritunl:[email protected]:27017/pritunl?authSource=adminUpdated over 5 years. MongoDBPumper for Oracle is a handy application designed to help you transfer data between Oracle and MongoDB databases. It provides high-performance data migration functionality between Oracle and MongoDB databases in two directions. With MongoDBPumper GUI wizard you can easily perform data migration between Oracle table and MongoDB

MongoDBPumper for Oracle download, install mongodbpumper for oracle

Sandra Schlichtingunread,Aug 8, 2011, 2:22:27 PM8/8/11to mongodb-userHi everyone.Are there a way to do a quick analysis on ones Oracle database to tellhow the same data would perform on MongoDB?If so, what would the migration path be? Does there exist a tutorialfor migrating from Oracle to MongoDB?Hugs,SandraAndreas Jungunread,Aug 8, 2011, 2:27:39 PM8/8/11to mongod...@googlegroups.com-----BEGIN PGP SIGNED MESSAGE-----Hash: SHA1Sandra Schlichting wrote:> Hi everyone.> > Are there a way to do a quick analysis on ones Oracle database to> tell how the same data would perform on MongoDB?What do you mean with same data? Since a RDBMS schema is different fromthe documented approach in MongoDB there is no one-to-one mapping.> > If so, what would the migration path be? Does there exist a tutorial > for migrating from Oracle to MongoDB.First you have to think about a proper database design for MongoDBand then check your out-of-the-box options (like CSV or JSON import)or writing a migration script according to your needs and data.- -aj-----BEGIN PGP SIGNATURE-----Version: GnuPG v1.4.11 (Darwin)Comment: Using GnuPG with Mozilla - PGP SIGNATURE-----Sandra Schlichtingunread,Aug 8, 2011, 2:45:22 PM8/8/11to mongodb-user> What do you mean with same data? Since a RDBMS schema is different from> the documented approach in MongoDB there is no one-to-one mapping.I mean, without modifying the fundamental way the application talks tothe Oracle database. So it would more or less be a matter of replacingthe database layer.Are the things where you can say, if you use this feature in Oracle,then the migration will be hard?Or are things where you can say, if you only use these features inOracle, then the migration will be easy?> First you have to think about a proper database design for MongoDB> and then check your out-of-the-box options (like CSV or JSON import)> or writing a migration script according to your needs and data.I can do that.

MongoDBPumper for Oracle and MongoDB para Windows - CNET Download

在此页面上MongoDB 安装教程升级 Community Edition 到 Enterprise Edition 的教程支持的平台MongoDB 提供两种服务器版本：社区版和企业版。本手册的这一部分包含有关安装 MongoDB 的信息。有关将当前部署升级到 MongoDB 8.0 的说明，请参阅 8.0 升级过程。有关升级到当前版本的最新补丁版本的说明，请参阅升级到 MongoDB 的最新自管理补丁版本。有关 mongod、mongos 以及与 MongoDB 一起发布的所有其他工具的文档，请参阅 MongoDB 包组件。可在以下平台应用 MongoDB 的安装教程，包括 MongoDB Community Edition 和Enterprise Edition：重要升级到 MongoDB Enterprise（独立运行的实例）升级到 MongoDB Enterprise（副本集）升级至 MongoDB Enterprise（分片集群）重要MongoDB 不支持 32 位 x86 平台。重要v4.4 生命周期结束V4.4 已于 2024 年 2 月 29 日到期，MongoDB 不再提供支持。平台架构版本8.07.06.05.04.4Amazon Linux 2023x86_64Enterprise✓✓Amazon Linux 2023x86_64Community✓✓Amazon Linux V2x86_64Enterprise✓✓✓✓Amazon Linux V2x86_64Community✓✓✓✓Debian 12x86_64Enterprise✓✓Debian 12x86_64Community✓✓Debian 11x86_64Enterprise✓✓5.0.8+Debian 11x86_64Community✓✓5.0.8+Debian 10x86_64Enterprise✓✓✓Debian 10x86_64Community✓✓✓Debian 9x86_64Enterprise✓✓Debian 9x86_64Community✓✓RHEL/Rocky/Alma/Oracle Linux 9.0+ [1]x86_64Enterprise✓✓6.0.4+RHEL/Rocky/Alma/Oracle Linux 9.0+ [1]x86_64Community✓✓6.0.4+RHEL/Rocky/Alma/Oracle Linux 8.0+ [1]x86_64Enterprise✓✓✓✓✓RHEL/Rocky/Alma/Oracle Linux 8.0+ [1]x86_64Community✓✓✓✓✓RHEL/CentOS/Oracle Linux 7.0+ [1]x86_64Enterprise✓✓✓✓RHEL/CentOS/Oracle Linux 7.0+ [1]x86_64Community✓✓✓✓RHEL/CentOS/Oracle Linux 6.2+ [1]x86_64Enterprise✓RHEL/CentOS/Oracle Linux 6.2+ [1]x86_64Community✓SLES 15x86_64Enterprise✓✓✓✓✓SLES 15x86_64Community✓✓✓✓✓SLES 12x86_64Enterprise✓✓✓✓SLES 12x86_64Community✓✓✓✓Ubuntu 24.04x86_64Enterprise✓Ubuntu 24.04x86_64Community✓Ubuntu 22.04x86_64Enterprise✓✓6.0.4+Ubuntu 22.04x86_64Community✓✓6.0.4+Ubuntu 20.04x86_64Enterprise✓✓✓✓✓Ubuntu 20.04x86_64Community✓✓✓✓✓Ubuntu 18.04x86_64Enterprise✓✓✓Ubuntu 18.04x86_64Community✓✓✓Ubuntu 16.04x86_64Enterprise✓Ubuntu 16.04x86_64Community✓Windows 11x86_64Enterprise✓✓✓Windows 11x86_64Community✓✓✓Windows Server 2022x86_64Enterprise✓✓✓Windows Server 2022x86_64Community✓✓✓Windows Server 2019x86_64Enterprise✓✓✓✓Windows Server 2019x86_64Community✓✓✓✓Windows 10 / Server 2016x86_64Enterprise✓✓✓Windows 10 / Server 2016x86_64Community✓✓✓macOS 14x86_64Enterprise✓macOS 14x86_64Community✓macOS 13x86_64Enterprise✓✓macOS 13x86_64Community✓✓macOS 12x86_64Enterprise✓✓macOS 12x86_64Community✓✓macOS 11x86_64Enterprise✓✓macOS 11x86_64Community✓✓macOS 10.15x86_64Enterprise✓✓✓macOS 10.15x86_64Community✓✓✓macOS 10.14x86_64Enterprise✓✓macOS 10.14x86_64Community✓✓macOS 10.13x86_64Enterprise✓macOS 10.13x86_64Community✓macOS 14arm64Enterprise✓macOS 14arm64Community✓macOS 13arm64Enterprise✓✓macOS 13arm64Community✓✓macOS 12arm64Enterprise✓✓macOS 12arm64Community✓✓macOS 11arm64Enterprise✓✓macOS 11arm64Community✓✓Amazon Linux 2023arm64Enterprise✓✓Amazon Linux 2023arm64Community✓✓Amazon Linux 2arm64Enterprise✓✓✓4.4.4+Amazon Linux 2arm64Community✓✓✓4.4.4+RHEL/CentOS/Rocky/Alma 9arm64Enterprise✓✓✓RHEL/CentOS/Rocky/Alma 9arm64Community✓✓✓RHEL/CentOS/Rocky/Alma 8arm64Enterprise✓✓✓✓4.4.4+RHEL/CentOS/Rocky/Alma 8arm64Community✓✓✓✓4.4.4+Ubuntu 24.04arm64Enterprise✓Ubuntu 24.04arm64Community✓Ubuntu 22.04arm64Enterprise✓✓6.0.4+Ubuntu 22.04arm64Community✓✓6.0.4+Ubuntu 20.04arm64Enterprise✓✓✓✓✓Ubuntu 20.04arm64Community✓✓✓✓✓Ubuntu 18.04arm64Enterprise✓✓✓Ubuntu 18.04arm64Community✓✓✓Ubuntu 16.04arm64Enterprise✓RHEL/Rocky/Alma 8 [ 7 ]ppc64leEnterprise✓✓✓✓✓RHEL/CentOS 7ppc64leEnterprise6.0.7+✓✓RHEL/Rocky/Alma 9s390xEnterprise✓✓RHEL/Rocky/Alma 8 [ 7 ]s390xEnterprise✓✓✓5.0.9+RHEL/CentOS 7s390xEnterprise✓✓✓RHEL/CentOS 7s390xCommunity✓✓

Uninstall MongoDBPumper for Oracle for Windows - MongoDBPumper

YourDatabaseName --collection yourCollectionName --out yourData.json ``` For CSV (you'll need to specify the fields): ```sh mongoexport --db yourDatabaseName --collection yourCollectionName --type=csv --fields field1,field2 --out yourData.csv ```1. Review Data Types: Check the MongoDB data types and map them to the corresponding Oracle data types.2. Transform Data: If needed, write a script (in a language like Python, Perl, or even a shell script) to transform the data from the MongoDB export into a format suitable for Oracle. This may include: - Converting BSON ObjectId to a string. - Formatting dates to match Oracle's date format. - Handling nested documents or arrays appropriately.3. Create an Intermediate File: Save the transformed data into an intermediate CSV or SQL file that can be understood by Oracle.1. Create Tables: Create the necessary tables in Oracle Database to hold the data. Make sure the columns match the data types of the transformed data. ```sql CREATE TABLE your_table_name ( column1 datatype1, column2 datatype2, ... ); ```2. Prepare the Environment: Ensure that the Oracle environment is ready to receive the data. This may include setting up user permissions, tablespaces, and other necessary database configurations.1. Use SQL*Loader or External Tables: Decide whether to use SQL*Loader or Oracle External Tables for the import process. - SQL*Loader: This utility allows you to load data from external files into tables of an Oracle database. Create a control file that describes how the data is formatted and how it should be loaded into Oracle: ```sh LOAD DATA INFILE 'yourData.csv' INTO TABLE your_table_name FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' (column1, column2, ...) ``` Run SQL*Loader using the control file: ```sh sqlldr userid=yourOracleUsername/yourOraclePassword@yourOracleDB control=yourControlFile.ctl ``` - External Tables: This feature allows you to query data from a flat file as though it is a regular table. ```sql CREATE TABLE your_table_name ( column1 datatype1, column2

MongoDBPumper for Oracle download, install mongodbpumper

Learn how to use Airbyte to synchronize your MongoDb data into Oracle within minutes.Building your pipeline or Using AirbyteAirbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.Building in-house pipelinesBespoke pipelines are:Inconsistent and inaccurate dataLaborious and expensiveBrittle and inflexibleFurthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.After AirbyteAirbyte connections are:Reliable and accurateExtensible and scalable for all your needsDeployed and governed your wayAll your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.Set up a MongoDb connector in AirbyteConnect to MongoDb or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.Set up Oracle for your extracted MongoDb dataSelect Oracle where you want to import data from your MongoDb source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.Configure the MongoDb to Oracle in AirbyteThis includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.Demo video of Airbyte CloudDemo video of AI Connector BuilderModern GenAI WorkflowsStreamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.Move Large Volumes, FastQuickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.An Extensible Open-Source StandardMore than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors. MongoDBPumper for Oracle is a handy application designed to help you transfer data between Oracle and MongoDB databases. It provides high-performance data migration functionality between Oracle and MongoDB databases in two directions. With MongoDBPumper GUI wizard you can easily perform data migration between Oracle table and MongoDB

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Platform that can help meet all their needs—letting developers use SQL, JSON documents, graph, geospatial, text, and vectors in a single database to rapidly build new features.In addition, a revolutionary new feature in Oracle Database, JSON Relational Duality, provides the benefits of both relational tables and JSON documents, without the tradeoffs of either model.Autonomous Database offers integrated AI services and in-database machine learning (ML) to enhance apps with text and image analysis, speech recognition, or personalized recommendations. In addition, Autonomous Database Select AI automatically translates natural language into database queries and allows you to have a contextual conversation with the database, without any custom coding or manual operations via a complex interface. And because the database is fully autonomous, it enables development teams to stay focused on building applications by ensuring uptime and safeguarding data through automated security measures and continuous monitoring.You can get started today for free, and even try a workshop to learn how to use SQL, JSON, and Oracle Graph in the same app.With use cases that include ecommerce platforms, IoT applications, and more, MongoDB has proven its versatility across industries. Its ability to handle diverse data types and support complex queries positions it as an able component of modern technology stacks. As businesses seek to extract maximum value from their data, MongoDB will be instrumental in success.Developers and their business colleagues alike can benefit from cloud-native applications that are specifically designed to maximize agility, scalability, and efficiency. Learn more and check out 10 additional ways cloud is getting better.MongoDB FAQsWhat is the difference between SQL and MongoDB?MongoDB saves unstructured data, which is unsuitable for a Structured Query Language (SQL).Is MongoDB a back-end language?No, but it can be used as part of a back-end web application.Is MongoDB a language or framework?It is a database management system using unstructured data stored in documents instead of tables.

Download MongoDBPumper for Oracle software

Tool for Linux operating system. The key advantage ... a shadow file, import from a text file. Password recovery using dictionary attacks, brute force attacks, hybrid ... Shareware | $55.00 JRecoverer for Cassandra Passwords 1.0.0 JRecoverer for Cassandra Passwords is a user account password auditing and recovery tool for Cassandra database. The key advantage of ... import from database, import from a text file. Password recovery using dictionary attacks, brute force attacks, hybrid ... Shareware | $55.00 JRecoverer for MongoDB Passwords 1.0.0 JRecoverer for MongoDB Passwords is a user account password auditing and recovery tool for MongoDB database. The key advantage of ... import from database, import from a text file. Password recovery using dictionary attacks, brute force attacks, hybrid ... Shareware | $55.00 JRecoverer for CouchDB Passwords 1.0.0 JRecoverer for CouchDB Passwords is a user account password auditing and recovery tool for CouchDB database. The key advantage of ... import from database, import from a text file. Password recovery using dictionary attacks, brute force attacks, hybrid ... Shareware | $55.00 JRecoverer for PostgreSQL Passwords 1.5.0 JRecoverer for PostgreSQL Passwords is a user account password auditing and recovery tool for PostgreSQL database. The key advantage of ... import from database, import from a text file. Password recovery using dictionary attacks, brute force attacks, hybrid ... Shareware | $55.00 JRecoverer for Oracle Database Passwords 1.4.1 JRecoverer for Oracle Database Passwords is a user account password auditing and recovery tool for Oracle Database. The key advantage of ... a network alias), import from a text file. Password recovery using dictionary attacks, brute force attacks, hybrid ... Shareware | $55.00 PassMoz LabWin 4.7.2.0 ... any more even you completely forgot Windows login password. The solution is easy and everyone can get ... in a few minutes by using PassMoz window password Recovery program called LabWin. It is one of ... Shareware | $39.95. MongoDBPumper for Oracle is a handy application designed to help you transfer data between Oracle and MongoDB databases. It provides high-performance data migration functionality between Oracle and MongoDB databases in two directions. With MongoDBPumper GUI wizard you can easily perform data migration between Oracle table and MongoDB MongoDBPumper for Oracle is a handy application designed to help you transfer data between Oracle and MongoDB databases. It provides high-performance data migration functionality between Oracle and MongoDB databases in two directions. With MongoDBPumper GUI wizard you can easily perform data migration between Oracle table and MongoDB

mongodben/mongodb-oracle: The MongoDB Oracle ‍♀️ - GitHub

15 / Amazon Linux 2, 2023 (arm64)Red Hat + CentOS 7, 8, 9 / SUSE 12 + 15 / Amazon Linux 2, 2023 (x86_64)debcheckToolsMongoDB Atlas Kubernetes Operator DownloadUse the MongoDB Atlas Kubernetes Operator to automate and manage Atlas services from your Kubernetes cluster. Kubernetes operators are controllers that extend the Kubernetes API to create, configure, and manage instances of applications or services.Using the MongoDB Atlas Kubernetes Operator, you have full control over your MongoDB Atlas databases from a single Kubernetes control plane, with a consistent experience across different deployment environments.Learn morelink-chevronToolsMongoDB CLI for Cloud Manager and Ops Manager DownloadAccess MongoDB Cloud Manager and Ops Manager from the MongoDB Command Line Interface. Test, script, and execute other actions — all from one tool.2.0.3checkDebian 10, 11, 12 / Ubuntu 20.04, 22.04 (arm64)checkDebian 10, 11, 12 / Ubuntu 20.04, 22.04 (x86_64)Linux (arm64)Linux (x86_64)macOS (arm64)macOS (x86_64)Microsoft WindowsRed Hat + CentOS 7, 8, 9 / SUSE 12 + 15 / Amazon Linux 2 (arm64)Red Hat + CentOS 7, 8, 9 / SUSE 12 + 15 / Amazon Linux 2 (x86_64)debcheckToolsMongoDB Cluster-to-Cluster Sync DownloadMongoDB Cluster-to-Cluster Sync (the mongosync utility) provides you with continuous, uni-directional data synchronization of MongoDB clusters in the same or different environments (Atlas, private cloud, on-premise, and edge clusters).MongoDB Cluster-to-Cluster Sync allows you to easily migrate data to the cloud, spin up dev/test environments, create dedicated analytics environments, and support audits & data residency requirements.Learn morelink-chevron1.12.0checkAmazon Linux 2 x86_64checkmacOS arm64macOS x86_64RedHat / CentOS 7.0 x86_64RedHat / CentOS 8.0 x86_64RedHat / CentOS 9.0 x86_64Ubuntu 18.04 x86_64Ubuntu 20.04 x86_64tgzcheckToolsMongoDB Relational Migrator DownloadMongoDB Relational Migrator simplifies and streamlines data migration from legacy relational databases to MongoDB, reducing the effort and risk involved in migration initiatives.It supports migrations from popular SQL databases, including Oracle, SQL Server, MySQL, PostgreSQL, Sybase, and IBM DB2, to any self-managed MongoDB deployment or MongoDB Atlas.Learn morenone1.12.0checkWindowscheckmacOS arm64macOS x64Debian / UbuntuRedhat / CentosDocker single machineDocker Kafka reference architectureKafka Sink Connector PluginmsicheckToolsMongoDB BI Connector DownloadThe MongoDB Connector for BI allows you to use your BI tool of choice to visualize, discover, and report against MongoDB data using standard SQL queries.The MongoDB Connector for BI is available as part of the MongoDB Enterprise Advanced subscription, which features the most comprehensive support for MongoDB and the best SLA.2.14.22checkAmazon Linux x64checkAmazon Linux 2 x64Amazon Linux 2 ARMAmazon Linux 2023 x64Amazon Linux 2023 ARMDebian 9.2 x64Debian 10.0 x64Debian 11.0 x64Debian 12.0 x64macOS x64/OpenSSL 1.1macOS ARM/OpenSSL 1.1macOS x64/OpenSSL 3.0macOS