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DBMS > Badger vs. dBASE vs. etcd vs. Google Cloud Datastore vs. HEAVY.AI

System Properties Comparison Badger vs. dBASE vs. etcd vs. Google Cloud Datastore vs. HEAVY.AI

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisondBASE  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Datastore  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.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.A distributed reliable key-value storeAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelKey-value storeRelational DBMSKey-value storeDocument storeRelational 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
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.dbase.cometcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­datastoregithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.dbase.com/­support/­knowledgebaseetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­datastore/­docsdocs.heavy.ai
DeveloperDGraph LabsAsthon TateGoogleHEAVY.AI, Inc.
Initial release2017197920082016
Current releasedBASE 2019, 20193.4, August 20195.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
DOS infodBase Classic
Windows infodBase Pro
FreeBSD
Linux
Windows infoexperimental
hostedLinux
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes, details hereyes
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.nononono
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnononoSQL-like query language (GQL)yes
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.gRPC
JSON over HTTP
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
Supported programming languagesGodBase proprietary IDE.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.nousing Google App Engineno
Triggersnonoyes, watching key changesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication using PaxosMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
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.nononoyes
User concepts infoAccess controlnoAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
BadgerdBASEetcdGoogle Cloud DatastoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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