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DBMS > H2GIS vs. KeyDB vs. SiriDB vs. Tarantool

System Properties Comparison H2GIS vs. KeyDB vs. SiriDB vs. Tarantool

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonKeyDB  Xexclude from comparisonSiriDB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionSpatial extension of H2An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen Source Time Series DBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelSpatial DBMSKey-value storeTime Series DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Websitewww.h2gis.orggithub.com/­Snapchat/­KeyDB
keydb.dev
siridb.comwww.tarantool.io
Technical documentationwww.h2gis.org/­docs/­homedocs.keydb.devdocs.siridb.comwww.tarantool.io/­en/­doc
DeveloperCNRSEQ Alpha Technology Ltd.CesbitVK
Initial release2013201920172008
Current release2.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoBSD-3Open Source infoMIT LicenseOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CC and C++
Server operating systemsLinuxLinuxBSD
Linux
macOS
Data schemeyesschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infoNumeric datastring, double, decimal, uuid, integer, blob, boolean, datetime
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.nononono
Secondary indexesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLyesnonoFull-featured ANSI SQL support
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoHTTP APIOpen binary protocol
Supported programming languagesJavaC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infobased on H2LuanoLua, C and SQL stored procedures
Triggersyesnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2Multi-source replication
Source-replica replication
yesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsnoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlyes infobased on H2simple password-based access control and ACLsimple rights management via user accountsAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
H2GISKeyDBSiriDBTarantool
DB-Engines blog posts

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

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