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DBMS > Apache IoTDB vs. Dgraph vs. GeoSpock vs. Greenplum vs. JanusGraph

System Properties Comparison Apache IoTDB vs. Dgraph vs. GeoSpock vs. Greenplum vs. JanusGraph

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDgraph  Xexclude from comparisonGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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 FlinkDistributed and scalable native Graph DBMSSpatial and temporal data processing engine for extreme data scaleAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelTime Series DBMSGraph DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websiteiotdb.apache.orgdgraph.iogeospock.comgreenplum.orgjanusgraph.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldgraph.io/­docsdocs.greenplum.orgdocs.janusgraph.org
DeveloperApache Software FoundationDgraph Labs, Inc.GeoSpockPivotal Software Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release2018201620052017
Current release1.1.0, April 20232.0, September 20197.0.0, September 20230.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, JavascriptJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
hostedLinuxLinux
OS X
Unix
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infosince Version 4.2no
Secondary indexesyesyestemporal, categoricalyesyes
SQL infoSupport of SQLSQL-like query languagenoANSI SQL for query only (using Presto)yesno
APIs and other access methodsJDBC
Native API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBCJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Perl
Python
R
Clojure
Java
Python
Server-side scripts infoStored proceduresyesnonoyesyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)yesAutomatic shardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSynchronous replication via RaftSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyesno infoPlanned for future releasesAccess rights for users can be defined per tablefine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
Apache IoTDBDgraphGeoSpockGreenplumJanusGraph infosuccessor of Titan
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