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DBMS > Databricks vs. PieCloudDB vs. PostGIS vs. SingleStore

System Properties Comparison Databricks vs. PieCloudDB vs. PostGIS vs. SingleStore

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPieCloudDB  Xexclude from comparisonPostGIS  Xexclude from comparisonSingleStore infoformer name was MemSQL  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.A cloud-native analytic database platform with new technologoy for elastic MPPSpatial extension of PostgreSQLMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitewww.databricks.comwww.openpie.compostgis.netwww.singlestore.com
Technical documentationdocs.databricks.compostgis.net/­documentationdocs.singlestore.com
DeveloperDatabricksOpenPieSingleStore Inc.
Initial release201320052013
Current release2.1, January 20233.4.2, February 20248.5, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageCC++, Go
Server operating systemshostedhostedLinux info64 bit version required
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyesyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesPython
R
Scala
Java
PL/SQL
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsuser defined functionsyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesyes infobased on PostgreSQLSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infobased on PostgreSQLSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUser Roles and pluggable authentication with full SQL Standardyes infobased on PostgreSQLFine grained access control via users, groups and roles
More information provided by the system vendor
DatabricksPieCloudDBPostGISSingleStore infoformer name was MemSQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
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SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more
F ree Tier and Enterprise Edition
» more

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More resources
DatabricksPieCloudDBPostGISSingleStore infoformer name was MemSQL
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