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DBMS > Amazon Redshift vs. Axibase vs. Badger vs. dBASE vs. Google Cloud Bigtable

System Properties Comparison Amazon Redshift vs. Axibase vs. Badger vs. dBASE vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAxibase  Xexclude from comparisonBadger  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAn 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.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 modelRelational DBMSTime Series DBMSKey-value storeRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.99
Rank#29  Overall
#16  Relational DBMS
Score0.31
Rank#262  Overall
#21  Time Series DBMS
Score0.16
Rank#291  Overall
#47  Key-value stores
Score15.36
Rank#38  Overall
#23  Relational DBMS
Score4.06
Rank#82  Overall
#7  Wide column stores
Websiteaws.amazon.com/­redshiftaxibase.com/­products/­axibase-time-series-databasegithub.com/­dgraph-io/­badgerwww.dbase.comcloud.google.com/­bigtable
Technical documentationdocs.aws.amazon.com/­redshiftgithub.com/­axibase/­atsdgodoc.org/­github.com/­dgraph-io/­badgerwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docs
DeveloperAmazon (based on PostgreSQL)Axibase CorporationDGraph LabsAsthon TateGoogle
Initial release20122013201719792015
Current release15585dBASE 2019, 2019
License infoCommercial or Open Sourcecommercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaGo
Server operating systemshostedLinuxBSD
Linux
OS X
Solaris
Windows
DOS infodBase Classic
Windows infodBase Pro
hosted
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringnoyesno
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 indexesrestrictednonoyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languagenonono
APIs and other access methodsJDBC
ODBC
JDBC
Proprietary protocol (Network API)
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)
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
PHP
Python
R
Ruby
GodBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesnono infoThe IDE can access stored procedures in other database systems.no
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnonenoneInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono 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 persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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Amazon RedshiftAxibaseBadgerdBASEGoogle Cloud Bigtable
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