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DBMS > GridGain vs. Microsoft Azure AI Search vs. Quasardb vs. SiteWhere vs. Titan

System Properties Comparison GridGain vs. Microsoft Azure AI Search vs. Quasardb vs. SiteWhere vs. Titan

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteSearch-as-a-service for web and mobile app developmentDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Relational DBMS
Search engineTime Series DBMSTime Series DBMSGraph DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.gridgain.comazure.microsoft.com/­en-us/­services/­searchquasar.aigithub.com/­sitewhere/­sitewheregithub.com/­thinkaurelius/­titan
Technical documentationwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGridGain Systems, Inc.MicrosoftquasardbSiteWhereAurelius, owned by DataStax
Initial release20072015200920102012
Current releaseGridGain 8.5.1V13.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++JavaJava
Server operating systemsLinux
OS X
Solaris
Windows
hostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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 indexesyesyesyes infowith tagsnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languagenono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP APIHTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoyes
Triggersyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingSharding infobased on HBaseyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factorselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nowith Hadoop integrationnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeno
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infousing Azure authenticationCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptUser authentification and security via Rexster Graph Server

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GridGainMicrosoft Azure AI SearchQuasardbSiteWhereTitan
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