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DBMS > Altibase vs. Apache IoTDB vs. GreptimeDB vs. TimescaleDB

System Properties Comparison Altibase vs. Apache IoTDB vs. GreptimeDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache IoTDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#200  Overall
#93  Relational DBMS
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitealtibase.comiotdb.apache.orggreptime.comwww.timescale.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.greptime.comdocs.timescale.com
DeveloperAltibaseApache Software FoundationGreptime Inc.Timescale
Initial release1999201820222017
Current releasev7.3, 2023, August 20231.1.0, April 20232.15.0, May 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaRustC
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VM (>= 1.8)Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL-like query languageyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Native API
gRPC
HTTP API
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
C
C#
C++
Go
Java
Python
Scala
C++
Erlang
Go
Java
JavaScript
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresstored procedures and stored functionsyesPythonuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesSimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
AltibaseApache IoTDBGreptimeDBTimescaleDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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AltibaseApache IoTDBGreptimeDBTimescaleDB
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