MongoDB vs TileDB

Need advice about which tool to choose?Ask the StackShare community!

MongoDB

92.5K
79.8K
+ 1
4.1K
TileDB

4
11
+ 1
0
Add tool

TileDB vs MongoDB: What are the differences?

TileDB: The serverless universal data engine for any data, any tool. TileDB offers a data engine that makes data management and compute fast, easy and universal. Manage, store, share and analyze any kind of data (not just tables) with any computational tool (not just SQL) at extreme scale; MongoDB: The database for giant ideas. MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

TileDB and MongoDB can be primarily classified as "Databases" tools.

MongoDB is an open source tool with 20K GitHub stars and 4.86K GitHub forks. Here's a link to MongoDB's open source repository on GitHub.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of MongoDB
Pros of TileDB
  • 827
    Document-oriented storage
  • 593
    No sql
  • 553
    Ease of use
  • 464
    Fast
  • 410
    High performance
  • 257
    Free
  • 218
    Open source
  • 180
    Flexible
  • 145
    Replication & high availability
  • 112
    Easy to maintain
  • 42
    Querying
  • 39
    Easy scalability
  • 38
    Auto-sharding
  • 37
    High availability
  • 31
    Map/reduce
  • 27
    Document database
  • 25
    Easy setup
  • 25
    Full index support
  • 16
    Reliable
  • 15
    Fast in-place updates
  • 14
    Agile programming, flexible, fast
  • 12
    No database migrations
  • 8
    Easy integration with Node.Js
  • 8
    Enterprise
  • 6
    Enterprise Support
  • 5
    Great NoSQL DB
  • 4
    Support for many languages through different drivers
  • 3
    Schemaless
  • 3
    Aggregation Framework
  • 3
    Drivers support is good
  • 2
    Fast
  • 2
    Managed service
  • 2
    Easy to Scale
  • 2
    Awesome
  • 2
    Consistent
  • 1
    Good GUI
  • 1
    Acid Compliant
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Cons of MongoDB
    Cons of TileDB
    • 6
      Very slowly for connected models that require joins
    • 3
      Not acid compliant
    • 2
      Proprietary query language
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      What is MongoDB?

      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

      What is TileDB?

      TileDB offers a data engine that makes data management and compute fast, easy and universal. Manage, store, share and analyze any kind of data (not just tables) with any computational tool (not just SQL) at extreme scale.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use MongoDB?
      What companies use TileDB?
      See which teams inside your own company are using MongoDB or TileDB.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with MongoDB?
      What tools integrate with TileDB?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      Dec 8 2020 at 5:50PM

      DigitalOcean

      GitHubMySQLPostgreSQL+11
      2
      2383
      JavaScriptGitHubNode.js+29
      14
      13520
      GitGitHubDocker+34
      29
      42531
      GitGitHubSlack+30
      27
      18469
      What are some alternatives to MongoDB and TileDB?
      Amazon DynamoDB
      With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
      Couchbase
      Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      See all alternatives