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DBMS > IBM Db2 Event Store vs. InfluxDB vs. Sphinx vs. STSdb

System Properties Comparison IBM Db2 Event Store vs. InfluxDB vs. Sphinx vs. STSdb

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInfluxDB  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesDBMS for storing time series, events and metricsOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelEvent Store
Time Series DBMS
Time Series DBMSSearch engineKey-value store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storewww.influxdata.com/­products/­influxdb-overviewsphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.influxdata.com/­influxdbsphinxsearch.com/­docs
DeveloperIBMSphinx Technologies Inc.STS Soft SC
Initial release2017201320012011
Current release2.02.7.6, April 20243.5.1, February 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++GoC++C#
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X infothrough Homebrew
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes infoprimitive types and user defined types (classes)
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 indexesnonoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query languageSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
Proprietary protocol.NET Client API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationselectable replication factor infoin enterprise version onlynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - 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.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engine
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsnono
More information provided by the system vendor
IBM Db2 Event StoreInfluxDBSphinxSTSdb
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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