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

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

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGridGain  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSnowflake  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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 dataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS infocolumn-orientedRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
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
Websitewww.exasol.com/­en/­productswww.gridgain.comwww.sap.com/­products/­sybase-iq-big-data-management.htmlwww.snowflake.comsqrrl.com
Technical documentationwww.exasol.com/­en/­community/­resourceswww.gridgain.com/­docs/­latesthelp.sap.com/­iqdocs.snowflake.net/­manuals/­index.html
DeveloperExasolGridGain Systems, Inc.SAP, formerly SybaseSnowflake Computing Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20002007199420142012
Current releaseGridGain 8.5.116.1 SPS04, April 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
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++, .NetJava
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
hostedLinux
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyesyesno
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
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
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 infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)SAP/Sybase Replication Serveryesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes (compute grid and hadoop accelerator)Hadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 authenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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