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DBMS > Badger vs. Coveo vs. dBASE vs. HEAVY.AI vs. Splice Machine

System Properties Comparison Badger vs. Coveo vs. dBASE vs. HEAVY.AI vs. Splice Machine

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCoveo  Xexclude from comparisondBASE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeSearch engineRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score2.28
Rank#114  Overall
#11  Search engines
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.coveo.comwww.dbase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
splicemachine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.coveo.comwww.dbase.com/­support/­knowledgebasedocs.heavy.aisplicemachine.com/­how-it-works
DeveloperDGraph LabsCoveoAsthon TateHEAVY.AI, Inc.Splice Machine
Initial release20172012197920162014
Current releasedBASE 2019, 20195.10, January 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDAJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedDOS infodBase Classic
Windows infodBase Pro
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyesnoyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsRESTful HTTP APInone infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Thrift
Vega
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGoC#
Java
JavaScript
Python
dBase proprietary IDEAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonono infoThe IDE can access stored procedures in other database systems.noyes infoJava
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesnoneSharding infoRound robinShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnogranular access controls, API key management, content filtersAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
BadgerCoveodBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Splice Machine
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