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DBMS > AlaSQL vs. Apache IoTDB vs. GridGain vs. IBM Db2 vs. Oracle Rdb

System Properties Comparison AlaSQL vs. Apache IoTDB vs. GridGain vs. IBM Db2 vs. Oracle Rdb

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonGridGain  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkGridGain is an in-memory computing platform, built on Apache IgniteCommon in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value store
Relational DBMS
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitealasql.orgiotdb.apache.orgwww.gridgain.comwww.ibm.com/­products/­db2www.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationgithub.com/­AlaSQL/­alasqliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.gridgain.com/­docs/­index.htmlwww.ibm.com/­docs/­en/­db2www.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationGridGain Systems, Inc.IBMOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2014201820071983 infohost version1984
Current release1.1.0, April 2023GridGain 8.5.112.1, October 20167.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialcommercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJava, C++, .NetC and C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM (>= 1.8)Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
HP Open VMS
Data schemeschema-freeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsJavaScript APIJDBC
Native API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesJavaScriptC
C#
C++
Go
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)yes
Triggersyesyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes (replicated cache)yes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoyesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
AlaSQLApache IoTDBGridGainIBM Db2 infoformerly named DB2 or IBM Database 2Oracle Rdb
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