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DBMS > Badger vs. BigchainDB vs. CockroachDB vs. dBASE vs. Google Cloud Bigtable

System Properties Comparison Badger vs. BigchainDB vs. CockroachDB vs. dBASE vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonCockroachDB  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.76
Rank#216  Overall
#36  Document stores
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.cockroachlabs.comwww.dbase.comcloud.google.com/­bigtable
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.cockroachlabs.com/­docswww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docs
DeveloperDGraph LabsCockroach LabsAsthon TateGoogle
Initial release20172016201519792015
Current release24.1.0, May 2024dBASE 2019, 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3Open Source infoApache 2.0, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPythonGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
DOS infodBase Classic
Windows infodBase Pro
hosted
Data schemeschema-freeschema-freedynamic schemayesschema-free
Typing infopredefined data types such as float or datenonoyesyesno
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 indexesnoyesyesno
SQL infoSupport of SQLnonoyes, wire compatible with PostgreSQLnono
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCnone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono infoThe IDE can access stored procedures in other database systems.no
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication using RAFTnoneInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoyesRole-based access controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
BadgerBigchainDBCockroachDBdBASEGoogle Cloud Bigtable
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