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DBMS > GridGain vs. SQream DB vs. Yaacomo

System Properties Comparison GridGain vs. SQream DB vs. Yaacomo

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonSQream DB  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache Ignitea GPU-based, columnar RDBMS for big data analytics workloadsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#138  Overall
#26  Key-value stores
#67  Relational DBMS
Score0.59
Rank#226  Overall
#110  Relational DBMS
Score0.00
Rank#348  Overall
#146  Relational DBMS
Websitewww.gridgain.comsqream.comyaacomo.com
Technical documentationwww.gridgain.com/­docs/­latestdocs.sqream.com
DeveloperGridGain Systems, Inc.SQream TechnologiesQ2WEB GmbH
Initial release200720142009
Current releaseGridGain 8.5.12021.2, September 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Solaris
Windows
LinuxAndroid
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.Net
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functions in Python
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
GridGainSQream DBYaacomo
Specific characteristicsDue to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesMuch faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersSome of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more
News

Trend-Setting Products in Data and Information Management for 2022
4 January 2022

SQream Snaps Up Panoply to Supercharge its Cloud Offerings
19 December 2021

SQream acquires Israel’s Panoply in $60-70 million deal
16 December 2021

SQream acquires no-code data platform Panoply
16 December 2021

SQream acquires no-code data platform Panoply
16 December 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridGainSQream DBYaacomo
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