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DBMS > etcd vs. GridGain vs. H2 vs. ObjectBox vs. TimescaleDB

System Properties Comparison etcd vs. GridGain vs. H2 vs. ObjectBox vs. TimescaleDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGridGain  Xexclude from comparisonH2  Xexclude from comparisonObjectBox  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeGridGain is an in-memory computing platform, built on Apache IgniteFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Extremely fast embedded database for small devices, IoT and MobileA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSObject oriented DBMSTime Series DBMS
Secondary database modelsSpatial DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.gridgain.comwww.h2database.comobjectbox.iowww.timescale.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.gridgain.com/­docs/­index.htmlwww.h2database.com/­html/­main.htmldocs.objectbox.iodocs.timescale.com
DeveloperGridGain Systems, Inc.Thomas MuellerObjectBox LimitedTimescale
Initial release2007200520172017
Current release3.4, August 2019GridGain 8.5.12.2.220, July 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetJavaC and C++C
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
All OS with a Java VMAndroid
iOS
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesnonoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsgRPC
JSON over HTTP
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary native APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
JavaC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)Java Stored Procedures and User-Defined Functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes, watching key changesyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes (replicated cache)With clustering: 2 database servers on different computers operate on identical copies of a databaseonline/offline synchronization between client and serverSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard
More information provided by the system vendor
etcdGridGainH2ObjectBoxTimescaleDB
News

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21 May 2024

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16 May 2024

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23 April 2024

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15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

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More resources
etcdGridGainH2ObjectBoxTimescaleDB
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