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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIgnite  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 assetsdBase 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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelKey-value storeDocument storeRelational DBMSKey-value store
Wide column store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Score11.18
Rank#44  Overall
#28  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.dbase.comcloud.google.com/­bigtableignite.apache.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsapacheignite.readme.io/­docs
DeveloperDGraph LabsAsthon TateGoogleApache Software Foundation
Initial release20172016197920152015
Current releasedBASE 2019, 2019Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercialcommercialOpen Source infoApache 2.0
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 languageGoPythonC++, Java, .Net
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxDOS infodBase Classic
Windows infodBase Pro
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenonoyesnoyes
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.nononoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnonononoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.noyes (compute grid and cache interceptors can be used instead)
Triggersnononoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
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 DBMSAtomic single-row operationsACID
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.nonoyes
User concepts infoAccess controlnoyesAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementations

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More resources
BadgerBigchainDBdBASEGoogle Cloud BigtableIgnite
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