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DBMS > H2GIS vs. Hazelcast vs. Tarantool vs. UniData,UniVerse

System Properties Comparison H2GIS vs. Hazelcast vs. Tarantool vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonHazelcast  Xexclude from comparisonTarantool  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionSpatial extension of H2A widely adopted in-memory data gridIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelSpatial DBMSKey-value storeDocument store
Key-value store
Relational DBMS
Multivalue DBMS
Secondary database modelsRelational DBMSDocument store infoJSON support with IMDG 3.12Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.h2gis.orghazelcast.comwww.tarantool.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.h2gis.org/­docs/­homehazelcast.org/­imdg/­docswww.tarantool.io/­en/­docdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperCNRSHazelcastVKRocket Software
Initial release2013200820081985
Current release5.3.6, November 20232.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C
Server operating systemsAll OS with a Java VMBSD
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeoptional
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageFull-featured ANSI SQL supportyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Open binary protocolJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJava.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infobased on H2yes infoEvent Listeners, Executor ServicesLua, C and SQL stored proceduresyes
Triggersyesyes infoEventsyes, before/after data modification events, on replication events, client session eventsyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2yes infoReplicated MapAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmCasual 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 integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlyes infobased on H2Role-based access controlAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Access rights according to SQL-standard and operating system based

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More resources
H2GISHazelcastTarantoolUniData,UniVerse
DB-Engines blog posts

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

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