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DBMS > GeoSpock vs. IRONdb vs. Kinetica vs. Microsoft Access vs. XTDB

System Properties Comparison GeoSpock vs. IRONdb vs. Kinetica vs. Microsoft Access vs. XTDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegeospock.comwww.circonus.com/solutions/time-series-database/www.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comdeveloper.microsoft.com/­en-us/­accesswww.xtdb.com/­docs
DeveloperGeoSpockCirconus LLC.KineticaMicrosoftJuxt Ltd.
Initial release2017201219922019
Current release2.0, September 2019V0.10.20, January 20187.1, August 20211902 (16.0.11328.20222), March 20191.19, September 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC and C++C, C++C++Clojure
Server operating systemshostedLinuxLinuxWindows infoNot a real database server, but making use of DLLsAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesyes, extensible-data-notation format
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 indexestemporal, categoricalnoyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsyes infobut not compliant to any SQL standardlimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCHTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Clojure
Java
Server-side scripts infoStored proceduresnoyes, in Luauser defined functionsyes infosince Access 2010 using the ACE-engineno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingAutomatic, metric affinity per nodeShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users can be defined per tablenoAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003

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More resources
GeoSpockIRONdbKineticaMicrosoft AccessXTDB infoformerly named Crux
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