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DBMS > EventStoreDB vs. IRONdb vs. SpaceTime vs. Tkrzw

System Properties Comparison EventStoreDB vs. IRONdb vs. SpaceTime vs. Tkrzw

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonIRONdb  Xexclude from comparisonSpaceTime  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySpaceTime is a spatio-temporal DBMS with a focus on performance.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelEvent StoreTime Series DBMSSpatial DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.eventstore.comwww.circonus.com/solutions/time-series-database/www.mireo.com/­spacetimedbmx.net/­tkrzw
Technical documentationdevelopers.eventstore.comdocs.circonus.com/irondb/category/getting-started
DeveloperEvent Store LimitedCirconus LLC.MireoMikio Hirabayashi
Initial release2012201720202020
Current release21.2, February 2021V0.10.20, January 20180.9.3, August 2020
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C++
Server operating systemsLinux
Windows
LinuxLinuxLinux
macOS
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesno
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.nonono
Secondary indexesnono
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)A subset of ANSI SQL is implementedno
APIs and other access methodsHTTP APIRESTful HTTP API
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#
C++
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, in Luanono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classes
User concepts infoAccess controlnoyesno

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More resources
EventStoreDBIRONdbSpaceTimeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Recent citations in the news

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21 February 2024, SiliconANGLE News

Apica Acquires Telemetry Data Management Pioneer Circonus And Lands New Funding
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Apica gets $6 million in funding and buys Circonus -
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