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DBMS > GridGain vs. Quasardb vs. Sphinx vs. Transwarp Hippo

System Properties Comparison GridGain vs. Quasardb vs. Sphinx vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databasesCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSSearch engineVector 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
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitewww.gridgain.comquasar.aisphinxsearch.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.gridgain.com/­docs/­index.htmldoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperGridGain Systems, Inc.quasardbSphinx Technologies Inc.
Initial release2007200920012023
Current releaseGridGain 8.5.13.14.1, January 20243.5.1, February 20231.0, May 2023
License infoCommercial or Open Sourcecommercial, open sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
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++C++C++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoVector, Numeric and String
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 indexesyesyes infowith tagsyes infofull-text index on all search fieldsno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language (SphinxQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIProprietary protocolRESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)with Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Cryptographically strong user authentication and audit trailnoRole based access control and fine grained access rights

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