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DBMS > Badger vs. GBase vs. HEAVY.AI vs. LevelDB

System Properties Comparison Badger vs. GBase vs. HEAVY.AI vs. LevelDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.gbase.cngithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­google/­leveldb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.heavy.aigithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperDGraph LabsGeneral Data Technology Co., Ltd.HEAVY.AI, Inc.Google
Initial release2017200420162011
Current releaseGBase 8a, GBase 8s, GBase 8c5.10, January 20221.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, Java, PythonC++ and CUDAC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxIllumos
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyesnono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoStandard with numerous extensionsyesno
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
Supported programming languagesGoC#All languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standardno

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More resources
BadgerGBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LevelDB
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