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DBMS > Databricks vs. dBASE vs. Google Cloud Bigtable vs. Hive vs. Oracle Coherence

System Properties Comparison Databricks vs. dBASE vs. Google Cloud Bigtable vs. Hive vs. Oracle Coherence

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHive  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.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.data warehouse software for querying and managing large distributed datasets, built on HadoopOracles in-memory data grid solution
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Wide column store
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitewww.databricks.comwww.dbase.comcloud.google.com/­bigtablehive.apache.orgwww.oracle.com/­java/­coherence
Technical documentationdocs.databricks.comwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDatabricksAsthon TateGoogleApache Software Foundation infoinitially developed by FacebookOracle
Initial release20131979201520122007
Current releasedBASE 2019, 20193.1.3, April 202214.1, August 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
hostedAll OS with a Java VMAll OS with a Java VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLwith Databricks SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
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
Thrift
JCache
JPA
RESTful HTTP API
Supported programming languagesPython
R
Scala
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.noyes infouser defined functions and integration of map-reduceno
Triggersnononoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factoryes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operationsnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
DatabricksdBASEGoogle Cloud BigtableHiveOracle Coherence
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksdBASEGoogle Cloud BigtableHiveOracle Coherence
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