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DBMS > Heroic vs. LevelDB vs. ReductStore vs. Transbase

System Properties Comparison Heroic vs. LevelDB vs. ReductStore vs. Transbase

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonReductStore  Xexclude from comparisonTransbase  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 valuesDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelTime Series DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitegithub.com/­spotify/­heroicgithub.com/­google/­leveldbgithub.com/­reductstore
www.reduct.store
www.transaction.de/­en/­products/­transbase.html
Technical documentationspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.reduct.store/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperSpotifyGoogleReductStore LLCTransaction Software GmbH
Initial release2014201120231987
Current release1.23, February 20211.9, March 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoBusiness Source License 1.1commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, RustC and C++
Server operating systemsIllumos
Linux
OS X
Windows
Docker
Linux
macOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyes infovia Elasticsearchnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
HeroicLevelDBReductStoreTransbase
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