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DBMS > AnzoGraph DB vs. Apache Impala vs. OrientDB vs. RisingWave vs. SAP SQL Anywhere

System Properties Comparison AnzoGraph DB vs. Apache Impala vs. OrientDB vs. RisingWave vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonOrientDB  Xexclude from comparisonRisingWave  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for HadoopMulti-model DBMS (Document, Graph, Key/Value)A distributed RDBMS for stream processing, wire-compatible with PostgreSQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument 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
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitecambridgesemantics.com/­anzographimpala.apache.orgorientdb.orgwww.risingwave.com/­databasewww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmlwww.orientdb.com/­docs/­last/­index.htmldocs.risingwave.com/­docs/­current/­introhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaOrientDB LTD; CallidusCloud; SAPRisingWave LabsSAP infoformerly Sybase
Initial release20182013201020221992
Current release2.3, January 20214.1.0, June 20223.2.29, March 20241.2, September 202317, July 2015
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaRust
Server operating systemsLinuxLinuxAll OS with a Java JDK (>= JDK 6)Docker
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes
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.nonononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsSQL-like query language, no joinsyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
PostgreSQL wire protocol
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBC.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceJava, JavascriptUDFs in Python or Javayes, in C/C++, Java, .Net or Perl
TriggersnonoHooksnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorMulti-source replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReduceno infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes inforelationship in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and roles; record level security configurableUsers and Rolesfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBApache ImpalaOrientDBRisingWaveSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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