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DBMS > Heroic vs. HyperSQL vs. LevelDB vs. RisingWave

System Properties Comparison Heroic vs. HyperSQL vs. LevelDB vs. RisingWave

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLevelDB  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelTime Series DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitegithub.com/­spotify/­heroichsqldb.orggithub.com/­google/­leveldbwww.risingwave.com/­database
Technical documentationspotify.github.io/­heroichsqldb.org/­web/­hsqlDocsFrame.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.risingwave.com/­docs/­current/­intro
DeveloperSpotifyGoogleRisingWave Labs
Initial release2014200120112022
Current release2.7.2, June 20231.23, February 20211.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infobased on BSD licenseOpen Source infoBSDOpen 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 languageJavaJavaC++Rust
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesIllumos
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoStandard SQL-types and JSON
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 indexesyes infovia Elasticsearchyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava, SQLnoUDFs in Python or Java
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers and Roles

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More resources
HeroicHyperSQL infoalso known as HSQLDBLevelDBRisingWave
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