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DBMS > Ignite vs. NSDb vs. SurrealDB vs. TimesTen

System Properties Comparison Ignite vs. NSDb vs. SurrealDB vs. TimesTen

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonNSDb  Xexclude from comparisonSurrealDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID transactional, developer-friendly, multi-model DBMSIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value store
Relational DBMS
Time Series DBMSDocument store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteignite.apache.orgnsdb.iosurrealdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationapacheignite.readme.io/­docsnsdb.io/­Architecturesurrealdb.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationSurrealDB LtdOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2015201720221998
Current releaseApache Ignite 2.6v1.5.0, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetJava, ScalaRust
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnono
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query languageyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
WebSocket
GraphQL
RESTful HTTP API
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Java
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noPL/SQL
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
IgniteNSDbSurrealDBTimesTen
Recent citations in the news

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024
8 February 2024, PR Newswire

GridGain Showcases Power of Apache Ignite at Community Over Code Conference
5 October 2023, Datanami

Apache Ignite: Distributed Database
18 August 2015, ignite.apache.org

Apache Ignite: An Overview
6 September 2023, Open Source For You

What is Apache Ignite? How is Apache Ignite Used?
18 July 2022, The Stack

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27 September 2023, Sifted

SurrealDB raises $6M for its database-as-a-service offering
4 January 2023, TechCrunch

Introducing SurrealDB: A Quantum Leap in Database Technology
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