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DBMS > GridDB vs. InfinityDB vs. Memcached vs. SQream DB

System Properties Comparison GridDB vs. InfinityDB vs. Memcached vs. SQream DB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonMemcached  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA Java embedded Key-Value Store which extends the Java Map interfaceIn-memory key-value store, originally intended for cachinga GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitegriddb.netboilerbay.comwww.memcached.orgsqream.com
Technical documentationdocs.griddb.netboilerbay.com/­infinitydb/­manualgithub.com/­memcached/­memcached/­wikidocs.sqream.com
DeveloperToshiba CorporationBoiler Bay Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSQream Technologies
Initial release2013200220032017
Current release5.1, August 20224.01.6.25, March 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilitynono
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)nonoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol.Net
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions in Python
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per databasenoyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
GridDBInfinityDBMemcachedSQream DB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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GridDBInfinityDBMemcachedSQream DB
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