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DBMS > GeoMesa vs. Neo4j vs. RRDtool vs. TimescaleDB

System Properties Comparison GeoMesa vs. Neo4j vs. RRDtool vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonNeo4j  Xexclude from comparisonRRDtool  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSpatial DBMSGraph DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.geomesa.orgneo4j.comoss.oetiker.ch/­rrdtoolwww.timescale.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlneo4j.com/­docsoss.oetiker.ch/­rrdtool/­docdocs.timescale.com
DeveloperCCRi and othersNeo4j, Inc.Tobias OetikerTimescale
Initial release2014200719992017
Current release4.0.5, February 20245.19, April 20241.8.0, 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoGPL V2 and FLOSSOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageScalaJava, ScalaC infoImplementations in Java (e.g. RRD4J) and C# availableC
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
HP-UX
Linux
Linux
OS X
Windows
Data schemeyesschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nono infoExporting into and restoring from XML files possibleyes
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Lucenenoyes
SQL infoSupport of SQLnononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
in-process shared library
Pipes
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia event handlernoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes using Neo4j Fabricnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
noneImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
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.depending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)nofine grained access rights according to SQL-standard
More information provided by the system vendor
GeoMesaNeo4jRRDtoolTimescaleDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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