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DBMS > Apache IoTDB vs. Graphite vs. Quasardb vs. SAP SQL Anywhere vs. TimescaleDB

System Properties Comparison Apache IoTDB vs. Graphite vs. Quasardb vs. SAP SQL Anywhere vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGraphite  Xexclude from comparisonQuasardb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperDistributed, high-performance timeseries databaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteiotdb.apache.orggithub.com/­graphite-project/­graphite-webquasar.aiwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.timescale.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgraphite.readthedocs.iodoc.quasar.ai/­masterhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.timescale.com
DeveloperApache Software FoundationChris DavisquasardbSAP infoformerly SybaseTimescale
Initial release20182006200919922017
Current release1.1.0, April 20233.14.1, January 202417, July 20152.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++C
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Unix
BSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infointeger and binaryyesnumerics, 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.nononoyesyes
Secondary indexesyesnoyes infowith tagsyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
Native API
HTTP API
Sockets
HTTP APIADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnonoyes, in C/C++, Java, .Net or Perluser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infoconsistent hashingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneSource-replica replication with selectable replication factorSource-replica replication infoDatabase mirroringSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyesno
User concepts infoAccess controlyesnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache IoTDBGraphiteQuasardbSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTimescaleDB
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