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DBMS > LevelDB vs. QuestDB vs. Tkrzw vs. Trino

System Properties Comparison LevelDB vs. QuestDB vs. Tkrzw vs. Trino

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high performance open source SQL database for time series dataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitegithub.com/­google/­leveldbquestdb.iodbmx.net/­tkrzwtrino.io
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdquestdb.io/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperGoogleQuestDB Technology IncMikio HirabayashiTrino Software Foundation
Initial release2011201420202012 info2020 rebranded from PrestoSQL
Current release1.23, February 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC++Java (Zero-GC), C++, RustC++Java
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
Windows
Linux
macOS
Linux
macOS infofor devlopment
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesnonodepending on connected data-source
SQL infoSupport of SQLnoSQL with time-series extensionsnoyes
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes, depending on connected data-source
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)nonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with eventual consistencynonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes infousing specific database classes
User concepts infoAccess controlnonoSQL standard access control
More information provided by the system vendor
LevelDBQuestDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTrino
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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