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DBMS > GridGain vs. Heroic vs. SAP Advantage Database Server vs. Tkrzw

System Properties Comparison GridGain vs. Heroic vs. SAP Advantage Database Server vs. Tkrzw

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHeroic  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchLow-cost RDBMS with access to ISAM and FoxPro data structuresA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#126  Overall
#25  Key-value stores
#62  Relational DBMS
Score0.25
Rank#280  Overall
#22  Time Series DBMS
Score3.66
Rank#91  Overall
#48  Relational DBMS
Score0.00
Rank#363  Overall
#57  Key-value stores
Websitewww.gridgain.comspotify.github.io/­heroic/­#!/­indexwww.sap.com/­products/­advantage-database-server.htmldbmx.net/­tkrzw
Technical documentationwww.gridgain.com/­docs/­latestspotify.github.io/­heroic/­#!/­docs/­overview
DeveloperGridGain Systems, Inc.SpotifySybase, SAPMikio Hirabayashi
Initial release2007201419932020
Current releaseGridGain 8.5.10.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
Linux
macOS
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnonono
Secondary indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Delphi
Perl
PHP
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesno
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
none
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 Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono infocaching of (temporary) tables can be configuredyes infousing specific database classes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardno

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More resources
GridGainHeroicSAP Advantage Database Server infoformer name: Sybase ADSTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Recent citations in the news

GridGain Continues Strong Momentum in 2021, Has Record Revenue Year
22 February 2022, GlobeNewswire

HTAP-Enabling In-Memory Computing Technologies Market 2022 New Research Focusing on Industry Drivers | MongoDB, SAP, GigaSpaces Technologies, DataStax and IBM – Indian Defence News
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GridGain Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
7 February 2022, GlobeNewswire

HTAP-Enabling In-Memory Computing Technologies Market worth $7.3 billion by 2027 -Microsoft, IBM, MongoDB, SAP, Aerospike, DataStax, GridGain – Indian Defence News
12 June 2022, Indian Defence News

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