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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Cassandra vs JSONlite vs TimescaleDB

Cassandra vs JSONlite vs TimescaleDB

OverviewComparisonAlternatives

Overview

Cassandra
Cassandra
Stacks3.6K
Followers3.5K
Votes507
GitHub Stars9.5K
Forks3.8K
JSONlite
JSONlite
Stacks122
Followers19
Votes2
GitHub Stars843
Forks37
TimescaleDB
TimescaleDB
Stacks227
Followers374
Votes44
GitHub Stars20.6K
Forks988

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Detailed Comparison

Cassandra
Cassandra
JSONlite
JSONlite
TimescaleDB
TimescaleDB

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.

JSONlite sandboxes the current working directory similar to SQLite. The JSONlite data directory is named jsonlite.data by default, and each json document is saved pretty printed as a uuid.

TimescaleDB: An open-source database built for analyzing time-series data with the power and convenience of SQL — on premise, at the edge, or in the cloud.

--
Packaged as a PostgreSQL extension;Full ANSI SQL;JOINs (e.g., across PostgreSQL tables);Complex queries;Secondary indexes;Composite indexes;Support for very high cardinality data;Triggers;Constraints;UPSERTS;JSON/JSONB;Ability to ingest out of order data;Ability to perform accurate rollups;Data retention policies;Fast deletes;Integration with PostGIS and the rest of the PostgreSQL ecosystem;
Statistics
GitHub Stars
9.5K
GitHub Stars
843
GitHub Stars
20.6K
GitHub Forks
3.8K
GitHub Forks
37
GitHub Forks
988
Stacks
3.6K
Stacks
122
Stacks
227
Followers
3.5K
Followers
19
Followers
374
Votes
507
Votes
2
Votes
44
Pros & Cons
Pros
  • 119
    Distributed
  • 98
    High performance
  • 81
    High availability
  • 74
    Easy scalability
  • 53
    Replication
Cons
  • 3
    Reliability of replication
  • 2
    Size
  • 1
    Updates
Pros
  • 2
    IoT
Pros
  • 9
    Open source
  • 8
    Easy Query Language
  • 7
    Time-series data analysis
  • 5
    Established postgresql API and support
  • 4
    Reliable
Cons
  • 5
    Licensing issues when running on managed databases
Integrations
No integrations availableNo integrations available
Prometheus
Prometheus
Equinix Metal
Equinix Metal
Ruby
Ruby
PostgreSQL
PostgreSQL
Django
Django
Kubernetes
Kubernetes
pgAdmin
pgAdmin
Python
Python
Kafka
Kafka
Datadog
Datadog

What are some alternatives to Cassandra, JSONlite, TimescaleDB?

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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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