DBMS > Tigris vs. XTDB

System Properties Comparison Tigris vs. XTDB

Please select another system to include it in the comparison.

Our visitors often compare Tigris and XTDB with Postgres-XL, Redis and Pinecone.

Editorial information provided by DB-Engines

Name

Description

A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Document store
Key-value store
Search engine
Time Series DBMS

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.06
Rank	#352	Overall
	#50	Document stores
	#53	Key-value stores
	#23	Search engines
	#35	Time Series DBMS

Score	0.20
Rank	#314	Overall
	#46	Document stores

Website

www.tigrisdata.com

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

www.tigrisdata.com/docs

www.xtdb.com/docs

Developer

Tigris Data, Inc.

Juxt Ltd.

Initial release

2022

2019

Current release

1.19, September 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MIT License

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Clojure

Server operating systems

Linux
macOS
Windows

All OS with a Java 8 (and higher) VM
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

limited SQL, making use of Apache Calcite

APIs and other access methods

CLI Client
gRPC
RESTful HTTP API

HTTP REST
JDBC

Supported programming languages

Go
Java
JavaScript (Node.js)

Clojure
Java

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes, using FoundationDB

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

User concepts

Access control

Access rights for users and roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Investing in Tigris
20 February 2024, Andreessen Horowitz

Tigris Data Unveils Beta Launch of New Vector Search Tool
19 May 2023, datanami.com

Data As A Service Market Size, Share & Growth Report, 2030
27 June 2024, Grand View Research

Latest Asigra platform targets SaaS backup for MSPs
6 March 2023, TechTarget

provided by Google News

Share this page