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DBMS > AnzoGraph DB vs. EJDB vs. Prometheus vs. searchxml vs. TimescaleDB

System Properties Comparison AnzoGraph DB vs. EJDB vs. Prometheus vs. searchxml vs. TimescaleDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEJDB  Xexclude from comparisonPrometheus  Xexclude from comparisonsearchxml  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Open-source Time Series DBMS and monitoring systemDBMS for structured and unstructured content wrapped with an application serverA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMS
RDF store
Document storeTime Series DBMSNative XML DBMS
Search engine
Time Series DBMS
Secondary database modelsRelational 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
Score0.31
Rank#296  Overall
#44  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­Softmotions/­ejdbprometheus.iowww.searchxml.net/­category/­productswww.timescale.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdprometheus.io/­docswww.searchxml.net/­support/­handoutsdocs.timescale.com
DeveloperCambridge SemanticsSoftmotionsinformationpartners gmbhTimescale
Initial release20182012201520152017
Current release2.3, January 20211.02.15.0, May 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGPLv2Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoC++C
Server operating systemsLinuxserver-lessLinux
Windows
WindowsLinux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idNumeric data onlyyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nono infoImport of XML data possibleyesyes
Secondary indexesnononoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
in-process shared libraryRESTful HTTP/JSON APIRESTful HTTP API
WebDAV
XQuery
XSLT
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++ infomost other programming languages supported via APIs.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes infoon the application serveruser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneyes infoby Federationyes infosychronisation to multiple collectionsSource-replica replication with hot standby and reads on replicas info
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-ClusternoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.yesnonono
User concepts infoAccess controlAccess rights for users and rolesnonoDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBEJDBPrometheussearchxmlTimescaleDB
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