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DBMS > etcd vs. H2 vs. IBM Db2 Event Store vs. TimescaleDB vs. Typesense

System Properties Comparison etcd vs. H2 vs. IBM Db2 Event Store vs. TimescaleDB vs. Typesense

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonH2  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionA distributed reliable key-value storeFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Distributed Event Store optimized for Internet of Things use casesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelKey-value storeRelational DBMSEvent Store
Time Series DBMS
Time Series DBMSSearch engine
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websiteetcd.io
github.com/­etcd-io/­etcd
www.h2database.comwww.ibm.com/­products/­db2-event-storewww.timescale.comtypesense.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2database.com/­html/­main.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.timescale.comtypesense.org/­docs
DeveloperThomas MuellerIBMTimescale
Initial release2005201720172015
Current release3.4, August 20192.2.220, July 20232.02.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC and C++CC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Linux
Data schemeschema-freeyesyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or datenoyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nononoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimeyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersyes, watching key changesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.With clustering: 2 database servers on different computers operate on identical copies of a databaseActive-active shard replicationSource-replica replication with hot standby and reads on replicas infoMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)No - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
etcdH2IBM Db2 Event StoreTimescaleDBTypesense
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