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DBMS > EXASOL vs. GridGain vs. SAP IQ vs. Snowflake vs. Sphinx

System Properties Comparison EXASOL vs. GridGain vs. SAP IQ vs. Snowflake vs. Sphinx

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGridGain  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSnowflake  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GridGain is an in-memory computing platform, built on Apache IgniteColumnar RDBMS optimized for Big Data analyticsCloud-based data warehousing service for structured and semi-structured dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS infocolumn-orientedRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.09
Rank#92  Overall
#45  Relational DBMS
Score2.16
Rank#116  Overall
#23  Key-value stores
#56  Relational DBMS
Score4.93
Rank#70  Overall
#39  Relational DBMS
Score2.73
Rank#101  Overall
#47  Relational DBMS
Score6.54
Rank#55  Overall
#6  Search engines
Websitewww.exasol.com/­en/­productswww.gridgain.comwww.sap.com/­products/­sybase-iq-big-data-management.htmlwww.snowflake.comsphinxsearch.com
Technical documentationwww.exasol.com/­en/­community/­resourceswww.gridgain.com/­docs/­latesthelp.sap.com/­iqdocs.snowflake.net/­manuals/­index.htmlsphinxsearch.com/­docs
DeveloperExasolGridGain Systems, Inc.SAP, formerly SybaseSnowflake Computing Inc.Sphinx Technologies Inc.
Initial release20002007199420142001
Current releaseGridGain 8.5.116.1 SPS04, April 20193.2.1, January 2020
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnoyes
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyesyesSQL-like query language (SphinxQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Proprietary protocol
Supported programming languagesJava
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Ruby
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yesuser defined functionsno
Triggersyesyes (cache interceptors and events)yesno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingshared disk or shared nothing architectures with SAP IQ MultiplexeryesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)SAP/Sybase Replication Serveryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes (compute grid and hadoop accelerator)Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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