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DBMS > Axibase vs. Badger vs. dBASE vs. Google Cloud Bigtable vs. Spark SQL

System Properties Comparison Axibase vs. Badger vs. dBASE vs. Google Cloud Bigtable vs. Spark SQL

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBadger  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable 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.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSKey-value storeRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#264  Overall
#21  Time Series DBMS
Score0.11
Rank#297  Overall
#49  Key-value stores
Score15.05
Rank#38  Overall
#23  Relational DBMS
Score4.06
Rank#86  Overall
#7  Wide column stores
Score19.29
Rank#33  Overall
#20  Relational DBMS
Websiteaxibase.com/­products/­axibase-time-series-databasegithub.com/­dgraph-io/­badgerwww.dbase.comcloud.google.com/­bigtablespark.apache.org/­sql
Technical documentationgithub.com/­axibase/­atsdgodoc.org/­github.com/­dgraph-io/­badgerwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAxibase CorporationDGraph LabsAsthon TateGoogleApache Software Foundation
Initial release20132017197920152014
Current release15585dBASE 2019, 20193.0.1, October 2020
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0commercialcommercialOpen 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 languageJavaGoScala
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
DOS infodBase Classic
Windows infodBase Pro
hostedLinux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringnoyesnoyes
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 indexesnonoyesnono
SQL infoSupport of SQLSQL-like query languagenononoSQL-like DML and DDL statements
APIs and other access methodsJDBC
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)
JDBC
ODBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
GodBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnono infoThe IDE can access stored procedures in other database systems.nono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
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 DBMSAtomic single-row operationsno
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.nonono
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
AxibaseBadgerdBASEGoogle Cloud BigtableSpark SQL
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