DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AnzoGraph DB vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Splunk

System Properties Comparison AnzoGraph DB vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Splunk

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationGeoMesa 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 ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAnalytics Platform for Big Data
Primary database modelGraph DBMS
RDF store
Spatial DBMSRelational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitecambridgesemantics.com/­anzographwww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticsnsdb.iowww.splunk.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturedocs.splunk.com/­Documentation/­Splunk
DeveloperCambridge SemanticsCCRi and othersMicrosoftSplunk Inc.
Initial release20182014201620172003
Current release2.3, January 20214.0.5, February 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++Java, Scala
Server operating systemsLinuxhostedLinux
macOS
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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 indexesnoyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyesSQL-like query languageno infoSplunk Search Processing Language for search commands
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
HTTP REST
Supported programming languagesC++
Java
Python
C#
Java
PHP
Java
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoTransact SQLnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingdepending on storage layerSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterdepending on storage layeryesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-Clusterdepending on storage layerImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layerno
User concepts infoAccess controlAccess rights for users and rolesyes infodepending on the DBMS used for storageyesAccess rights for users and roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AnzoGraph DBGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbSplunk
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

show all

Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8 February 2019, Towards Data Science

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Is The Enterprise Knowledge Graph Finally Going To Make All Data Usable?
19 September 2018, Forbes

provided by Google News

Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services
18 October 2023, AWS Blog

Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform
24 September 2023, DataScientest

Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates
22 March 2024, azure.microsoft.com

Azure Synapse vs. Databricks: Data Platform Comparison 2024
26 March 2024, eWeek

Azure Synapse Link for Cosmos DB: New Analytics Capabilities
10 November 2023, InfoQ.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here