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DBMS > AnzoGraph DB vs. Manticore Search vs. Microsoft Azure Cosmos DB vs. PostgreSQL vs. RavenDB

System Properties Comparison AnzoGraph DB vs. Manticore Search vs. Microsoft Azure Cosmos DB vs. PostgreSQL vs. RavenDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationMulti-storage database for search, including full-text search.Globally distributed, horizontally scalable, multi-model database serviceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
RDF store
Search engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.22
Rank#312  Overall
#21  Search engines
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitecambridgesemantics.com/­anzographmanticoresearch.comazure.microsoft.com/­services/­cosmos-dbwww.postgresql.orgravendb.net
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmmanual.manticoresearch.comlearn.microsoft.com/­azure/­cosmos-dbwww.postgresql.org/­docsravendb.net/­docs
DeveloperCambridge SemanticsManticore SoftwareMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerHibernating Rhinos
Initial release2018201720141989 info1989: Postgres, 1996: PostgreSQL2010
Current release2.3, January 20216.0, February 202316.3, May 20245.4, July 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGPL version 2commercialOpen Source infoBSDOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC#
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeSchema-free and OWL/RDFS-schema supportFixed schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infoJSON typesyesno
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.noCan index from XMLyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyes infofull-text index on all search fieldsyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languageSQL-like query languageyes infostandard with numerous extensionsSQL-like query language (RQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
TriggersnonoJavaScriptyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesMulti-item ACID transactions with snapshot isolation within a partitionACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
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 rolesnoAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
AnzoGraph DBManticore SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPostgreSQLRavenDB
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