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DBMS > GeoSpock vs. Ignite vs. LevelDB vs. RavenDB vs. TerminusDB

System Properties Comparison GeoSpock vs. Ignite vs. LevelDB vs. RavenDB vs. TerminusDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonIgnite  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 scaleApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeDocument storeGraph DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitegeospock.comignite.apache.orggithub.com/­google/­leveldbravendb.netterminusdb.com
Technical documentationapacheignite.readme.io/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsterminusdb.github.io/­terminusdb/­#
DeveloperGeoSpockApache Software FoundationGoogleHibernating RhinosDataChemist Ltd.
Initial release2015201120102018
Current release2.0, September 2019Apache Ignite 2.61.23, February 20215.4, July 202211.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++, Java, .NetC++C#Prolog, Rust
Server operating systemshostedLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.noyesnono
Secondary indexestemporal, categoricalyesnoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (RQL)SQL-like query language (WOQL)
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyesyes
Triggersnoyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneMulti-source replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per tableSecurity Hooks for custom implementationsnoAuthorization levels configured per client per databaseRole-based access control

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More resources
GeoSpockIgniteLevelDBRavenDBTerminusDB infoformer name was DataChemist
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