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DBMS > AnzoGraph DB vs. Drizzle vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. Warp 10

System Properties Comparison AnzoGraph DB vs. Drizzle vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. Warp 10

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWarp 10  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 virtualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Relational DBMSSpatial DBMSRelational DBMSTime Series 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
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitecambridgesemantics.com/­anzographwww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticswww.warp10.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticswww.warp10.io/­content/­02_Getting_started
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerCCRi and othersMicrosoftSenX
Initial release20182008201420162015
Current release2.3, January 20217.2.4, September 20125.0.0, May 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU GPLOpen Source infoApache License 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC++Java
Server operating systemsLinuxFreeBSD
Linux
OS X
hostedLinux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesschema-free
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 indexesnoyesyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsnoyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
Python
C
C++
Java
PHP
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoTransact SQLyes infoWarpScript
Triggersnono infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingdepending on storage layerSharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
depending on storage layeryesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-Clusterdepending on storage layerImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infonot needed in graphsyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesdepending on storage layeryes
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPyes infodepending on the DBMS used for storageyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AnzoGraph DBDrizzleGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWarp 10
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