DBMS > GigaSpaces vs. Tarantool vs. TDengine

System Properties Comparison GigaSpaces vs. Tarantool vs. TDengine

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Editorial information provided by DB-Engines

Name

Description

High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions

In-memory computing platform with a flexible data schema for efficiently building high-performance applications

Time Series DBMS and big data platform

Primary database model

Document store
Object oriented DBMS

Values are user defined objects

Document store
Key-value store
Relational DBMS

Time Series DBMS

Secondary database models

Graph DBMS
Search engine

Spatial DBMS

with Tarantool/GIS extension

Relational DBMS

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

Score	0.99
Rank	#187	Overall
	#30	Document stores
	#7	Object oriented DBMS

Score	1.44
Rank	#149	Overall
	#26	Document stores
	#25	Key-value stores
	#67	Relational DBMS

Score	2.11
Rank	#115	Overall
	#9	Time Series DBMS

Website

www.gigaspaces.com

www.tarantool.io

github.com/taosdata/TDengine
tdengine.com

Technical documentation

docs.gigaspaces.com/latest/landing.html

www.tarantool.io/en/doc

docs.tdengine.com

Developer

Gigaspaces Technologies

TDEngine, previously Taos Data

Initial release

2000

2008

2019

Current release

15.5, September 2020

2.10.0, May 2022

3.0, August 2022

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial licenses available

Open Source

BSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise

Open Source

AGPL V3, also commercial editions available

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

Java, C++, .Net

C and C++

Server operating systems

Linux
macOS
Solaris
Windows

BSD
Linux
macOS

Linux
Windows

Data scheme

schema-free

Flexible data schema: relational definition for tables with ability to store json-like documents in columns

yes

Typing

predefined data types such as float or date

yes

string, double, decimal, uuid, integer, blob, boolean, datetime

yes

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.

XML can be used for describing objects metadata

Secondary indexes

yes

SQL

Support of SQL

SQL-99 for query and DML statements

Full-featured ANSI SQL support

Standard SQL with extensions for time-series applications

APIs and other access methods

GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data

Open binary protocol

JDBC
RESTful HTTP API

Supported programming languages

.Net
C++
Java
Python
Scala

C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust

C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust

Server-side scripts

Stored procedures

yes

Lua, C and SQL stored procedures

Triggers

yes, event driven architecture

yes, before/after data modification events, on replication events, client session events

yes, via alarm monitoring

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

synchronous or asynchronous
Source-replica replication

synchronous or asynchronous

Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Map-Reduce pattern can be built with XAP task executors

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Consistency level configurable: ALL, QUORUM, ANY

Casual consistency across sharding partitions
Eventual consistency within replicaset partition

when using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition

when using Raft

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

ACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions

Concurrency

Support for concurrent manipulation of data

yes

yes, cooperative multitasking

yes

Durability

Support for making data persistent

yes

yes, write ahead logging

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

yes, full featured in-memory storage engine with persistence

User concepts

Access control

Role-based access control

Access Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

yes

More information provided by the system vendor

Specific characteristics

TDengine™ is a time-series database designed to help traditional industries overcome...
» more

Competitive advantages

High Performance at Any Scale: With its distributed scalable architecture that grows...
» more

Typical application scenarios

TDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more

Market metrics

TDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more

Licensing and pricing models

TDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more

News

TDengine Powers Mogulinker’s AI-Driven Smart Control Platform for Real-Time Industrial Energy Optimization
9 December 2024

By 2025, Who’s Still Not Using REAL Stream Processing?
28 November 2024

High Availability at Low Cost: Dual-Replica Mode and Active-Active Deployment
26 November 2024

Count on It! How TDengine’s Stream Processing Enhances Real-Time Data Handling
21 November 2024

Cache In, Speed Out: InfluxDB vs. TDengine in Real-Time Data
21 November 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021, Vladimir Perepelytsya, Tarantool (sponsor)

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Recent citations in the news

GigaSpaces to hand out almost $14 million in dividends following Cloudify’s acquisition by Dell
19 July 2023, CTech

GigaSpaces Announces Version 16.0 with Breakthrough Data Integration Tools to Ease Enterprises' Digital Transformation Challenges
3 November 2021, PR Newswire

Top 10 startups in B2B E-Commerce in Israel in Nov, 2024
24 November 2024, Tracxn

Your occasional storage digest with GigaSpaces, Virtana and NAND ship data
7 December 2020, Blocks and Files

GigaSpaces Unleashes New XAP In-Memory Computing Software Version
15 April 2015, Business Wire

provided by Google News

VShard — horizontal scaling in Tarantool
7 March 2019, Хабр

provided by Google News

Jeff Tao, TDengine: Becoming the de-facto standard IoT big data platform
4 April 2022, IoT News

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

IoT Deals and Partnerships: Iveda, VMware, Energous and More
28 April 2023, IoT World Today

provided by Google News

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