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DBMS > AnzoGraph DB vs. mSQL vs. OrigoDB vs. TimescaleDB vs. YottaDB

System Properties Comparison AnzoGraph DB vs. mSQL vs. OrigoDB vs. TimescaleDB vs. YottaDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast and solid embedded Key-value store
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Object oriented DBMS
Time Series DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitecambridgesemantics.com/­anzographhughestech.com.au/­products/­msqlorigodb.comwww.timescale.comyottadb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmorigodb.com/­docsdocs.timescale.comyottadb.com/­resources/­documentation
DeveloperCambridge SemanticsHughes TechnologiesRobert Friberg et alTimescaleYottaDB, LLC
Initial release201819942009 infounder the name LiveDB20172001
Current release2.3, January 20214.4, October 20212.15.0, May 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0
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 languageCC#CC
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nonono infocan be achieved using .NETyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes infofull PostgreSQL SQL syntaxby using the Octo plugin
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneSource-replica replicationSource-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlAccess rights for users and rolesnoRole based authorizationfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
AnzoGraph DBmSQL infoMini SQLOrigoDBTimescaleDBYottaDB
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