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DBMS > AgensGraph vs. IRONdb vs. LevelDB vs. Lovefield vs. Tkrzw

System Properties Comparison AgensGraph vs. IRONdb vs. LevelDB vs. Lovefield vs. Tkrzw

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonIRONdb  Xexclude from comparisonLevelDB  Xexclude from comparisonLovefield  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.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable relational database for web apps written in pure JavaScriptA 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 modelGraph DBMS
Relational DBMS
Time Series DBMSKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitebitnine.net/­agensgraphwww.circonus.com/solutions/time-series-database/github.com/­google/­leveldbgoogle.github.io/­lovefielddbmx.net/­tkrzw
Technical documentationbitnine.net/­documentationdocs.circonus.com/irondb/category/getting-startedgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperBitnine Global Inc.Circonus LLC.GoogleGoogleMikio Hirabayashi
Initial release20162017201120142020
Current release2.1, December 2018V0.10.20, January 20181.23, February 20212.1.12, February 20170.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoBSDOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++C++JavaScriptC++
Server operating systemsLinux
OS X
Windows
LinuxIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Data schemedepending on used data modelschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsnoyesno
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.nonononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsCypher Query Language
JDBC
HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesyes, in Luanonono
TriggersnononoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceAutomatic, metric affinity per nodenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter awarenonenonenone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDByes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnononono

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AgensGraphIRONdbLevelDBLovefieldTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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