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DBMS > AnzoGraph DB vs. Bangdb vs. Drizzle vs. SAP SQL Anywhere vs. TerminusDB

System Properties Comparison AnzoGraph DB vs. Bangdb vs. Drizzle vs. SAP SQL Anywhere vs. TerminusDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBangdb  Xexclude from comparisonDrizzle  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle 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 virtualizationConverged and high performance database for device data, events, time series, document and graphMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
RDF 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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitecambridgesemantics.com/­anzographbangdb.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlterminusdb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.bangdb.comhelp.sap.com/­docs/­SAP_SQL_Anywhereterminusdb.github.io/­terminusdb/­#
DeveloperCambridge SemanticsSachin Sinha, BangDBDrizzle project, originally started by Brian AkerSAP infoformerly SybaseDataChemist Ltd.
Initial release20182012200819922018
Current release2.3, January 2021BangDB 2.0, October 20217.2.4, September 201217, July 201511.0.0, January 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoBSD 3Open Source infoGNU GPLcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++Prolog, Rust
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nonoyesno
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL like support with command line toolyes infowith proprietary extensionsyesSQL-like query language (WOQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Proprietary protocol
RESTful HTTP API
JDBCADO.NET
HTTP API
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC++
Java
Python
C
C#
C++
Java
Python
C
C++
Java
PHP
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes, in C/C++, Java, .Net or Perlyes
Triggersnoyes, Notifications (with Streaming only)no infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
Source-replica replication infoDatabase mirroringJournaling Streams
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-ClusterTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyes
User concepts infoAccess controlAccess rights for users and rolesyes (enterprise version only)Pluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardRole-based access control

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More resources
AnzoGraph DBBangdbDrizzleSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTerminusDB infoformer name was DataChemist
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