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DBMS > AnzoGraph DB vs. Apache Impala vs. Drizzle vs. SAP Adaptive Server vs. TerminusDB

System Properties Comparison AnzoGraph DB vs. Apache Impala vs. Drizzle vs. SAP Adaptive Server vs. TerminusDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  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 virtualizationAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument storeSpatial DBMS infowith Boeing's Spatial Query ServerDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitecambridgesemantics.com/­anzographimpala.apache.orgwww.sap.com/­products/­technology-platform/­sybase-ase.htmlterminusdb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmlhelp.sap.com/­docs/­SAP_ASEterminusdb.github.io/­terminusdb/­#
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerSAP, SybaseDataChemist Ltd.
Initial release20182013200819872018
Current release2.3, January 20214.1.0, June 20227.2.4, September 201216.011.0.0, January 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2Open 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 and C++Prolog, Rust
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsyes 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
JDBC
ODBC
JDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBCC
C++
Java
PHP
C
C++
Cobol
Java
Java
Perl
PHP
Python
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reducenoJava and Transact-SQLyes
Triggersnonono infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardinghorizontal partitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardRole-based access control

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More resources
AnzoGraph DBApache ImpalaDrizzleSAP Adaptive Server infoformer name: Sybase ASETerminusDB infoformer name was DataChemist
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