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DBMS > AnzoGraph DB vs. EXASOL vs. IRONdb vs. Spark SQL vs. STSdb

System Properties Comparison AnzoGraph DB vs. EXASOL vs. IRONdb vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEXASOL  Xexclude from comparisonIRONdb  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitecambridgesemantics.com/­anzographwww.exasol.comwww.circonus.com/solutions/time-series-database/spark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.exasol.com/­resourcesdocs.circonus.com/irondb/category/getting-startedspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCambridge SemanticsExasolCirconus LLC.Apache Software FoundationSTS Soft SC
Initial release20182000201720142011
Current release2.3, January 2021V0.10.20, January 20183.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
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 languageC and C++ScalaC#
Server operating systemsLinuxLinuxLinux
OS X
Windows
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes infoprimitive types and user defined types (classes)
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.nononono
Secondary indexesnoyesnonono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.Net
JDBC
ODBC
WebSocket
HTTP APIJDBC
ODBC
.NET Client API
Supported programming languagesC++
Java
Python
Java
Lua
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes, in Luanono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingAutomatic, metric affinity per nodeyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardnonono

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More resources
AnzoGraph DBEXASOLIRONdbSpark SQLSTSdb
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