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DBMS > GeoSpock vs. KairosDB vs. Neo4j vs. Postgres-XL

System Properties Comparison GeoSpock vs. KairosDB vs. Neo4j vs. Postgres-XL

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonKairosDB  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgres-XL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleDistributed Time Series DBMS based on Cassandra or H2Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegeospock.comgithub.com/­kairosdb/­kairosdbneo4j.comwww.postgres-xl.org
Technical documentationkairosdb.github.ioneo4j.com/­docswww.postgres-xl.org/­documentation
DeveloperGeoSpockNeo4j, Inc.
Initial release201320072014 infosince 2012, originally named StormDB
Current release2.0, September 20191.2.2, November 20185.19, April 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageJava, JavascriptJavaJava, ScalaC
Server operating systemshostedLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexestemporal, categoricalnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)nonoyes infodistributed, parallel query execution
APIs and other access methodsJDBCGraphite protocol
HTTP REST
Telnet API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
JavaScript infoNode.js
PHP
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functionsuser defined functions
Triggersnonoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infobased on Cassandrayes using Neo4j Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlAccess rights for users can be defined per tablesimple password-based access controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
GeoSpockKairosDBNeo4jPostgres-XL
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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More resources
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