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

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

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  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 databaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Search engineTime Series DBMSGraph DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitewww.gridgain.comazure.microsoft.com/­en-us/­services/­searchquasar.aigithub.com/­thinkaurelius/­titan
Technical documentationwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­mastergithub.com/­thinkaurelius/­titan/­wiki
DeveloperGridGain Systems, Inc.MicrosoftquasardbAurelius, owned by DataStax
Initial release2007201520092012
Current releaseGridGain 8.5.1V13.14.1, January 2024
License infoCommercial or Open Sourcecommercial, open sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLC++Java
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
hostedBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.yesnono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languageno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP APIJava 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 hashingyes 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 factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nowith Hadoop integrationyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes 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 mode
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
yes infousing Azure authenticationCryptographically strong user authentication and audit trailUser authentification and security via Rexster Graph Server

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More resources
GridGainMicrosoft Azure AI SearchQuasardbTitan
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