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DBMS > Databricks vs. dBASE vs. GBase vs. Hawkular Metrics vs. NSDb

System Properties Comparison Databricks vs. dBASE vs. GBase vs. Hawkular Metrics vs. NSDb

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisondBASE  Xexclude from comparisonGBase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNSDb  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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMSTime Series DBMS
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
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.databricks.comwww.dbase.comwww.gbase.cnwww.hawkular.orgnsdb.io
Technical documentationdocs.databricks.comwww.dbase.com/­support/­knowledgebasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidensdb.io/­Architecture
DeveloperDatabricksAsthon TateGeneral Data Technology Co., Ltd.Community supported by Red Hat
Initial release20131979200420142017
Current releasedBASE 2019, 2019GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaJava, Scala
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
LinuxLinux
OS X
Windows
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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.yesyesnono
Secondary indexesyesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLwith Databricks SQLnoStandard with numerous extensionsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
C API
JDBC
ODBC
HTTP RESTgRPC
HTTP REST
WebSocket
Supported programming languagesPython
R
Scala
dBase proprietary IDEC#Go
Java
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.user defined functionsnono
Triggersnoyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyesyesnono
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 DBMSACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesyesno
More information provided by the system vendor
DatabricksdBASEGBaseHawkular MetricsNSDb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksdBASEGBaseHawkular MetricsNSDb
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