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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Couchbase vs TileDB

Couchbase vs TileDB

OverviewComparisonAlternatives

Overview

Couchbase
Couchbase
Stacks505
Followers606
Votes110
TileDB
TileDB
Stacks5
Followers12
Votes0
GitHub Stars2.0K
Forks199

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Detailed Comparison

Couchbase
Couchbase
TileDB
TileDB

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.

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.

JSON document database; N1QL (SQL-like query language); Secondary Indexing; Full-Text Indexing; Eventing/Triggers; Real-Time Analytics; Mobile Synchronization for offline support; Autonomous Operator for Kubernetes and OpenShift
An open-source, open-spec cloud-native storage engine and universal format based on multi-dimensional arrays; Support for multiple backends; Data versioning and updates built-in; Extreme interoperability with multiple language APIs and data science frameworks; Integrations with most SQL engines and various geospatial and genomic libraries; 100% serverless functions spanning SQL, UDFs and advanced analytics; Data sharing and secure access control within and outside organizations; Data and code exploration and collaboration; Data Monetization; Hosted Jupyter Notebooks
Statistics
GitHub Stars
-
GitHub Stars
2.0K
GitHub Forks
-
GitHub Forks
199
Stacks
505
Stacks
5
Followers
606
Followers
12
Votes
110
Votes
0
Pros & Cons
Pros
  • 18
    High performance
  • 18
    Flexible data model, easy scalability, extremely fast
  • 9
    Mobile app support
  • 7
    You can query it with Ansi-92 SQL
  • 6
    All nodes can be read/write
Cons
  • 3
    Terrible query language
No community feedback yet
Integrations
Hadoop
Hadoop
Kafka
Kafka
Elasticsearch
Elasticsearch
Kubernetes
Kubernetes
Apache Spark
Apache Spark
Apache Spark
Apache Spark
MariaDB
MariaDB
Amazon S3
Amazon S3
Python
Python
Java
Java
Golang
Golang
R Language
R Language
Presto
Presto
Hadoop
Hadoop
Pandas
Pandas

What are some alternatives to Couchbase, TileDB?

MongoDB

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.

MySQL

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

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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