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DBMS > Badger vs. ClickHouse vs. dBASE vs. GigaSpaces vs. HEAVY.AI

System Properties Comparison Badger vs. ClickHouse vs. dBASE vs. GigaSpaces vs. HEAVY.AI

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonClickHouse  Xexclude from comparisondBASE  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.dBase 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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#315  Overall
#46  Key-value stores
Score16.31
Rank#37  Overall
#23  Relational DBMS
Score12.24
Rank#43  Overall
#27  Relational DBMS
Score1.05
Rank#191  Overall
#31  Document stores
#6  Object oriented DBMS
Score2.30
Rank#127  Overall
#60  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerclickhouse.comwww.dbase.comwww.gigaspaces.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerclickhouse.com/­docswww.dbase.com/­support/­knowledgebasedocs.gigaspaces.com/­latest/­landing.htmldocs.heavy.ai
DeveloperDGraph LabsClickhouse Inc.Asthon TateGigaspaces TechnologiesHEAVY.AI, Inc.
Initial release20172016197920002016
Current releasev23.12.1.1368-stable, December 2023dBASE 2019, 201915.5, September 20205.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
Implementation languageGoC++Java, C++, .NetC++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
Linux
macOS
Solaris
Windows
Linux
Data schemeschema-freeyesyesschema-freeyes
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 infoXML can be used for describing objects metadatano
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoClose to ANSI SQL (SQL/JSON + extensions)noSQL-99 for query and DML statementsyes
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
none infoThe IDE can access other DBMS or ODBC-sources.GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
Supported programming languagesGoC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
dBase proprietary IDE.Net
C++
Java
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyesno infoThe IDE can access stored procedures in other database systems.yesno
Triggersnononoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnonekey based and customnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.noneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesyes
User concepts infoAccess controlnoAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Access rights for users and rolesRole-based access controlfine grained access rights according to SQL-standard

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Related products and services
3rd partiesAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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