DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > GeoMesa vs. Hypertable vs. InterSystems Caché vs. RavenDB vs. SiteWhere

System Properties Comparison GeoMesa vs. Hypertable vs. InterSystems Caché vs. RavenDB vs. SiteWhere

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHypertable  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonRavenDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.An open source BigTable implementation based on distributed file systems such as HadoopA multi-model DBMS and application serverOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseM2M integration platform for persisting/querying time series data
Primary database modelSpatial DBMSWide column storeKey-value store
Object oriented DBMS
Relational DBMS
Document storeTime Series DBMS
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.geomesa.orgwww.intersystems.com/­products/­cacheravendb.netgithub.com/­sitewhere/­sitewhere
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.intersystems.comravendb.net/­docssitewhere1.sitewhere.io/­index.html
DeveloperCCRi and othersHypertable Inc.InterSystemsHibernating RhinosSiteWhere
Initial release20142009199720102010
Current release5.0.0, May 20240.9.8.11, March 20162018.1.4, May 20205.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++C#Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesschema-freedepending on used data modelschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.noyesno
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLnonoyesSQL-like query language (RQL)no
APIs and other access methodsC++ API
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP REST
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factor on file system levelSource-replica replicationMulti-source replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, Cluster-wide transaction availableno
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.depending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagenoAccess rights for users, groups and rolesAuthorization levels configured per client per databaseUsers with fine-grained authorization concept

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
GeoMesaHypertableInterSystems CachéRavenDBSiteWhere
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

SQL and TimescaleDB. This article takes a closer look into… | by Alibaba Cloud
31 July 2019, DataDrivenInvestor

Decorate your Windows XP with Hyperdesk
30 July 2008, CNET

The Collective: Customize Your Computer & Your Phone With Star Trek
18 March 2009, TrekMovie

5 Free NoSQL Database Certification Courses Online in 2024
31 January 2024, Analytics India Magazine

provided by Google News

AWS, GCP, Oracle, Azure, SAP Lead Cloud DBMS Market: Gartner
12 February 2022, CRN

Epic On EHR Interoperability: Not A '1-Time Project'
10 April 2015, InformationWeek

Associative Data Modeling Demystified - Part1 - DataScienceCentral.com
9 July 2016, Data Science Central

Announcing IBM Spectrum Sentinel: Building a Cyber Resilient Future
24 June 2022, IBM

Choosing a Database Technology. A roadmap and process overview | by Shirish Joshi
23 February 2020, Towards Data Science

provided by Google News

RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding
3 October 2023, PR Newswire

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

RavenDB Adds Graph Queries
15 May 2019, Datanami

Review: NoSQL database RavenDB
20 March 2019, TechGenix

How I Created a RavenDB Python Client
23 September 2016, Visual Studio Magazine

provided by Google News

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

Ten Popular IoT Platforms You Should be Aware of
27 March 2023, Open Source For You

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

provided by Google News



Share this page

Featured Products

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

Milvus logo

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

Present your product here