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DBMS > IBM Db2 Event Store vs. Interbase vs. Sphinx vs. TDengine

System Properties Comparison IBM Db2 Event Store vs. Interbase vs. Sphinx vs. TDengine

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInterbase  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesLight-weight proven RDBMS infooriginally from BorlandOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelEvent Store
Time Series DBMS
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.embarcadero.com/­products/­interbasesphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.embarcadero.com/­products/­interbasesphinxsearch.com/­docsdocs.tdengine.com
DeveloperIBMEmbarcaderoSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release2017198420012019
Current release2.0InterBase 2020, December 20193.5.1, February 20233.0, August 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions 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++CC++C
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAndroid
iOS
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 infoexport as XML data possibleno
Secondary indexesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languagenono
Triggersnoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationInterbase Change Viewsnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyes infoMultiversion concurreny controlyesyes
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
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
IBM Db2 Event StoreInterbaseSphinxTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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