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DBMS > GridGain vs. IBM Db2 Event Store vs. OpenTSDB vs. Sphinx

System Properties Comparison GridGain vs. IBM Db2 Event Store vs. OpenTSDB vs. Sphinx

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDistributed Event Store optimized for Internet of Things use casesScalable Time Series DBMS based on HBaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Relational DBMS
Event Store
Time Series DBMS
Time Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.gridgain.comwww.ibm.com/­products/­db2-event-storeopentsdb.netsphinxsearch.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.ibm.com/­docs/­en/­db2-event-storeopentsdb.net/­docs/­build/­html/­index.htmlsphinxsearch.com/­docs
DeveloperGridGain Systems, Inc.IBMcurrently maintained by Yahoo and other contributorsSphinx Technologies Inc.
Initial release2007201720112001
Current releaseGridGain 8.5.12.03.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoLGPLOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC and C++JavaC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsno
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.yesnono
Secondary indexesyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infothrough the embedded Spark runtimenoSQL-like query language (SphinxQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Telnet API
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Erlang
Go
Java
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesnono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Active-active shard replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes 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.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardnono

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GridGainIBM Db2 Event StoreOpenTSDBSphinx
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