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DBMS > LevelDB vs. SQream DB vs. Tkrzw vs. Warp 10

System Properties Comparison LevelDB vs. SQream DB vs. Tkrzw vs. Warp 10

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonSQream DB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesa GPU-based, columnar RDBMS for big data analytics workloadsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.62
Rank#234  Overall
#109  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitegithub.com/­google/­leveldbsqream.comdbmx.net/­tkrzwwww.warp10.io
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.sqream.comwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleSQream TechnologiesMikio HirabayashiSenX
Initial release2011201720202015
Current release1.23, February 20212022.1.6, December 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, CUDA, Haskell, Java, ScalaC++Java
Server operating systemsIllumos
Linux
OS X
Windows
LinuxLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesnoyes
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 indexesnonono
SQL infoSupport of SQLnoyesnono
APIs and other access methods.Net
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions in Pythonnoyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal and vertical partitioningnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing specific database classesyes
User concepts infoAccess controlnonoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
LevelDBSQream DBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWarp 10
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