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DBMS > Heroic vs. LevelDB vs. RisingWave vs. TDSQL for MySQL

System Properties Comparison Heroic vs. LevelDB vs. RisingWave vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonRisingWave  Xexclude from comparisonTDSQL for MySQL  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 distributed RDBMS for stream processing, wire-compatible with PostgreSQLA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitegithub.com/­spotify/­heroicgithub.com/­google/­leveldbwww.risingwave.com/­databasewww.tencentcloud.com/­products/­dcdb
Technical documentationspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.risingwave.com/­docs/­current/­introwww.tencentcloud.com/­document/­product/­1042
DeveloperSpotifyGoogleRisingWave LabsTencent
Initial release2014201120222013
Current release1.23, February 20211.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Rust
Server operating systemsIllumos
Linux
OS X
Windows
Docker
Linux
macOS
hosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoStandard SQL-types and JSONyes
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 Elasticsearchnoyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoUDFs in Python or Javayes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoUsers and RolesUsers with fine-grained authorization concept

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More resources
HeroicLevelDBRisingWaveTDSQL for MySQL
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