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DBMS > Databricks vs. PieCloudDB vs. PostGIS vs. ScyllaDB

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPieCloudDB  Xexclude from comparisonPostGIS  Xexclude from comparisonScyllaDB  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 PostgreSQLCassandra and DynamoDB compatible wide column store
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMSWide column store
Secondary database modelsRelational DBMSKey-value store
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
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitewww.databricks.comwww.openpie.compostgis.netwww.scylladb.com
Technical documentationdocs.databricks.compostgis.net/­documentationdocs.scylladb.com
DeveloperDatabricksOpenPieScyllaDB
Initial release201320052015
Current release2.1, January 20233.4.2, February 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCC++
Server operating systemshostedhostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
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 infocluster global secondary indices
SQL infoSupport of SQLwith Databricks SQLyesyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesPython
R
Scala
Java
PL/SQL
Python
R
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsuser defined functionsyes, Lua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infobased on PostgreSQLselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoin-memory tables
User concepts infoAccess controlUser Roles and pluggable authentication with full SQL Standardyes infobased on PostgreSQLAccess rights for users can be defined per object
More information provided by the system vendor
DatabricksPieCloudDBPostGISScyllaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
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ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
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ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
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Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
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Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
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Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
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More resources
DatabricksPieCloudDBPostGISScyllaDB
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