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DBMS > AgensGraph vs. Apache IoTDB vs. Memgraph vs. TimescaleDB

System Properties Comparison AgensGraph vs. Apache IoTDB vs. Memgraph vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache IoTDB  Xexclude from comparisonMemgraph  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn 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 graph database built for real-time streaming and compatible with Neo4jA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMS
Relational DBMS
Time Series DBMSGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitebitnine.net/­agensgraphiotdb.apache.orgmemgraph.comwww.timescale.com
Technical documentationbitnine.net/­documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlmemgraph.com/­docsdocs.timescale.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperBitnine Global Inc.Apache Software FoundationMemgraph LtdTimescale
Initial release2016201820172017
Current release2.1, December 20181.1.0, April 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC and C++C
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)LinuxLinux
OS X
Windows
Data schemedepending on used data modelyesschema-free and schema-optionalyes
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 indexesyesyesyes
SQL infoSupport of SQLyesSQL-like query languagenoyes infofull PostgreSQL SQL syntax
APIs and other access methodsCypher Query Language
JDBC
JDBC
Native API
Bolt protocol
Cypher query language
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infodynamic graph partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication using RAFTSource-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 inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesUsers, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphApache IoTDBMemgraphTimescaleDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
AgensGraphApache IoTDBMemgraphTimescaleDB
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