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DBMS > Apache Phoenix vs. Databricks vs. Lovefield vs. PostGIS vs. Sadas Engine

System Properties Comparison Apache Phoenix vs. Databricks vs. Lovefield vs. PostGIS vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatabricks  Xexclude from comparisonLovefield  Xexclude from comparisonPostGIS  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseThe 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 PostgreSQLSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  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
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitephoenix.apache.orgwww.databricks.comgoogle.github.io/­lovefieldpostgis.netwww.sadasengine.com
Technical documentationphoenix.apache.orgdocs.databricks.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpostgis.net/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationDatabricksGoogleSADAS s.r.l.
Initial release20142013201420052006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.12, February 20173.4.2, February 20248.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoGPL v2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptCC++
Server operating systemsLinux
Unix
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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.noyesnoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyeswith Databricks SQLSQL-like query language infovia JavaScript builder patternyesyes
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Python
R
Scala
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesnouser defined functionsno
TriggersnoUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infobased on PostgreSQLhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDBnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoyes infobased on PostgreSQLAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Apache PhoenixDatabricksLovefieldPostGISSadas Engine
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache PhoenixDatabricksLovefieldPostGISSadas Engine
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