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DBMS > LevelDB vs. Quasardb vs. RisingWave vs. RocksDB vs. TimescaleDB

System Properties Comparison LevelDB vs. Quasardb vs. RisingWave vs. RocksDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRisingWave  Xexclude from comparisonRocksDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, high-performance timeseries databaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQLEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeTime Series DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitegithub.com/­google/­leveldbquasar.aiwww.risingwave.com/­databaserocksdb.orgwww.timescale.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.quasar.ai/­masterdocs.risingwave.com/­docs/­current/­introgithub.com/­facebook/­rocksdb/­wikidocs.timescale.com
DeveloperGooglequasardbRisingWave LabsFacebook, Inc.Timescale
Initial release20112009202220132017
Current release1.23, February 20213.14.1, January 20241.2, September 20239.2.1, May 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoApache 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 languageC++C++RustC++C
Server operating systemsIllumos
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Docker
Linux
macOS
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyes infointeger and binaryStandard SQL-types and JSONnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonononoyes
Secondary indexesnoyes infowith tagsyesnoyes
SQL infoSupport of SQLnoSQL-like query languageyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP APIJDBC
PostgreSQL wire protocol
C++ API
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoUDFs in Python or Javanouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashinghorizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factoryesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyesyesno
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailUsers and Rolesnofine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources
LevelDBQuasardbRisingWaveRocksDBTimescaleDB
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