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DBMS > Apache Drill vs. Cubrid vs. Databricks vs. Lovefield vs. PostGIS

System Properties Comparison Apache Drill vs. Cubrid vs. Databricks vs. Lovefield vs. PostGIS

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonLovefield  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPThe 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.Embeddable relational database for web apps written in pure JavaScriptSpatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitedrill.apache.orgcubrid.com (korean)
cubrid.org (english)
www.databricks.comgoogle.github.io/­lovefieldpostgis.net
Technical documentationdrill.apache.org/­docscubrid.org/­manualsdocs.databricks.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpostgis.net/­documentation
DeveloperApache Software FoundationCUBRID Corporation, CUBRID FoundationDatabricksGoogle
Initial release20122008201320142005
Current release1.20.3, January 202311.0, January 20212.1.12, February 20173.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJavaScriptC
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesnoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyeswith Databricks SQLSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresuser defined functions and aggregatesnouser defined functions
TriggersnoyesUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenonoyes infousing MemoryDBno
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardnoyes infobased on PostgreSQL
More information provided by the system vendor
Apache DrillCubridDatabricksLovefieldPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DrillCubridDatabricksLovefieldPostGIS
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