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DBMS > AnzoGraph DB vs. CockroachDB vs. Fujitsu Enterprise Postgres vs. HyperSQL

System Properties Comparison AnzoGraph DB vs. CockroachDB vs. Fujitsu Enterprise Postgres vs. HyperSQL

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCockroachDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.cockroachlabs.comwww.postgresql.fastware.comhsqldb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.cockroachlabs.com/­docswww.postgresql.fastware.com/­product-manualshsqldb.org/­web/­hsqlDocsFrame.html
DeveloperCambridge SemanticsCockroach LabsPostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release201820152001
Current release2.3, January 202124.1.0, May 2024Fujitsu Enterprise Postgres 14, January 20222.7.2, June 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCJava
Server operating systemsLinuxLinux
macOS
Windows
Linux
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeSchema-free and OWL/RDFS-schema supportdynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes, wire compatible with PostgreSQLyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesC++
Java
Python
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functionsJava, SQL
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTpartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication using RAFTSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AnzoGraph DBCockroachDBFujitsu Enterprise PostgresHyperSQL infoalso known as HSQLDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
AnzoGraph DBCockroachDBFujitsu Enterprise PostgresHyperSQL infoalso known as HSQLDB
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