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DBMS > GeoMesa vs. HarperDB vs. Hypertable vs. Newts vs. Quasardb

System Properties Comparison GeoMesa vs. HarperDB vs. Hypertable vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHarperDB  Xexclude from comparisonHypertable  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An open source BigTable implementation based on distributed file systems such as HadoopTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelSpatial DBMSDocument storeWide column storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.geomesa.orgwww.harperdb.ioopennms.github.io/­newtsquasar.ai
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.harperdb.io/­docsgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperCCRi and othersHarperDBHypertable Inc.OpenNMS Groupquasardb
Initial release20142017200920142009
Current release4.0.5, February 20243.1, August 20210.9.8.11, March 20163.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree community edition availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageScalaNode.jsC++JavaC++
Server operating systemsLinux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesdynamic schemaschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnoyesyes infointeger and binary
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 indexesyesyesrestricted infoonly exact value or prefix value scansnoyes infowith tags
SQL infoSupport of SQLnoSQL-like data manipulation statementsnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
C++ API
Thrift
HTTP REST
Java API
HTTP API
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
Perl
PHP
Python
Ruby
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerA table resides as a whole on one (or more) nodes in a clusterShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infothe nodes on which a table resides can be definedselectable replication factor on file system levelselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesnoyes infoTransient mode
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users and rolesnonoCryptographically strong user authentication and audit trail

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More resources
GeoMesaHarperDBHypertableNewtsQuasardb
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