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DBMS > Heroic vs. LevelDB vs. OrigoDB vs. Tkrzw vs. XTDB

System Properties Comparison Heroic vs. LevelDB vs. OrigoDB vs. Tkrzw vs. XTDB

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA fully ACID in-memory object graph databaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSKey-value storeDocument store
Object oriented DBMS
Key-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Score0.09
Rank#351  Overall
#47  Document stores
Websitegithub.com/­spotify/­heroicgithub.com/­google/­leveldborigodb.comdbmx.net/­tkrzwgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdorigodb.com/­docswww.xtdb.com/­docs
DeveloperSpotifyGoogleRobert Friberg et alMikio HirabayashiJuxt Ltd.
Initial release201420112009 infounder the name LiveDB20202019
Current release1.23, February 20210.9.3, August 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen SourceOpen Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#C++Clojure
Server operating systemsIllumos
Linux
OS X
Windows
Linux
Windows
Linux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoUser defined using .NET types and collectionsnoyes, 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.nonono infocan be achieved using .NETnono
Secondary indexesyes infovia Elasticsearchnoyesyes
SQL infoSupport of SQLnonononolimited SQL, making use of Apache Calcite
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
HTTP API
LINQ
HTTP REST
JDBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.NetC++
Java
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-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 systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoWrite ahead logyesyes, 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.noyesyes infousing specific database classes
User concepts infoAccess controlnoRole based authorizationno

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More resources
HeroicLevelDBOrigoDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetXTDB infoformerly named Crux
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