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DBMS > GigaSpaces vs. H2 vs. LevelDB vs. Netezza vs. Tarantool

System Properties Comparison GigaSpaces vs. H2 vs. LevelDB vs. Netezza vs. Tarantool

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonH2  Xexclude from comparisonLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesData warehouse and analytics appliance part of IBM PureSystemsIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-value storeRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitewww.gigaspaces.comwww.h2database.comgithub.com/­google/­leveldbwww.ibm.com/­products/­netezzawww.tarantool.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tarantool.io/­en/­doc
DeveloperGigaspaces TechnologiesThomas MuellerGoogleIBMVK
Initial release20002005201120002008
Current release15.5, September 20202.2.220, July 20231.23, February 20212.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSDcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC++C and C++
Server operating systemsLinux
macOS
Solaris
Windows
All OS with a Java VMIllumos
Linux
OS X
Windows
Linux infoincluded in applianceBSD
Linux
macOS
Data schemeschema-freeyesschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesnoyesstring, 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.no infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyesnoyesFull-featured ANSI SQL support
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
OLE DB
Open binary protocol
Supported programming languages.Net
C++
Java
Python
Scala
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined FunctionsnoyesLua, C and SQL stored procedures
Triggersyes, event driven architectureyesnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding, 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 nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a databasenoneSource-replica replicationAsynchronous 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 methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyCasual 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 integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes, write ahead logging
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 controlRole-based access controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization conceptAccess 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
GigaSpacesH2LevelDBNetezza infoAlso called PureData System for Analytics by IBMTarantool
DB-Engines blog posts

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

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