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DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. Databricks vs. SpaceTime vs. Sphinx

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. Databricks vs. SpaceTime vs. Sphinx

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonSpaceTime  Xexclude from comparisonSphinx  Xexclude from comparison
This system has been discontinued and will be removed 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 virtualizationHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.SpaceTime is a spatio-temporal DBMS with a focus on performance.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document store
Relational DBMS
Spatial DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.mireo.com/­spacetimesphinxsearch.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databricks.comsphinxsearch.com/­docs
DeveloperCambridge SemanticsAtos Convergence CreatorsDatabricksMireoSphinx Technologies Inc.
Initial release20182016201320202001
Current release2.3, January 202117033.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinuxLinuxhostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateoptionalyesno
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.noyesyesno
Secondary indexesnoyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nowith Databricks SQLA subset of ANSI SQL is implementedSQL-like query language (SphinxQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIProprietary protocol
Supported programming languagesC++
Java
Python
All languages with LDAP bindingsPython
R
Scala
C#
C++
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions and aggregatesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infocell divisionFixed-grid hypercubesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesyesReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 rolesLDAP bind authenticationyesno
More information provided by the system vendor
AnzoGraph DBAtos Standard Common RepositoryDatabricksSpaceTimeSphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AnzoGraph DBAtos Standard Common RepositoryDatabricksSpaceTimeSphinx
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