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DBMS > EsgynDB vs. GeoMesa vs. Graphite vs. ToroDB

System Properties Comparison EsgynDB vs. GeoMesa vs. Graphite vs. ToroDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGraphite  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSSpatial DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Websitewww.esgyn.cnwww.geomesa.orggithub.com/­graphite-project/­graphite-webgithub.com/­torodb/­server
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlgraphite.readthedocs.io
DeveloperEsgynCCRi and othersChris Davis8Kdata
Initial release2015201420062016
Current release5.0.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaScalaPythonJava
Server operating systemsLinuxLinux
Unix
All OS with a Java 7 VM
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infostring, integer, double, boolean, date, object_id
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 indexesyesyesno
SQL infoSupport of SQLyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
Sockets
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersdepending on storage layernoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layernoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layer
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storagenoAccess rights for users and roles

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More resources
EsgynDBGeoMesaGraphiteToroDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

Try out the Graphite monitoring tool for time-series data
29 October 2019, TechTarget

Grafana Labs Announces Mimir Time Series Database
1 April 2022, Datanami

How Grafana made observability accessible
12 June 2023, InfoWorld

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10 December 2018, Uber

Getting Started with Monitoring using Graphite
23 January 2015, InfoQ.com

provided by Google News



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