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DBMS > LevelDB vs. OmniSci

System Properties Comparison LevelDB vs. OmniSci

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.08
Rank#98  Overall
#16  Key-value stores
Score1.27
Rank#153  Overall
#73  Relational DBMS
Websitegithub.com/­google/­leveldbgithub.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.omnisci.com
DeveloperGoogleMapD Technologies, Inc.
Initial release20112016
Current release1.23, February 20215.10, January 2022
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ and CUDA
Server operating systemsIllumos
Linux
OS X
Windows
Linux
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesnono
SQL infoSupport of SQLnoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
LevelDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly OmniSci allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosSpatiotemporal and interactive visual analysis on massive, disparate datasets.
» more
Licensing and pricing modelsOmniSci Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
LevelDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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