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DBMS > OpenEdge vs. OpenMLDB vs. Postgres-XL vs. ScyllaDB

System Properties Comparison OpenEdge vs. OpenMLDB vs. Postgres-XL vs. ScyllaDB

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Editorial information provided by DB-Engines
NameOpenEdge  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn open-source machine learning database that provides a feature platform for training and inferenceBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSTime Series DBMSRelational DBMSWide column store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitewww.progress.com/­openedgeopenmldb.aiwww.postgres-xl.orgwww.scylladb.com
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestopenmldb.ai/­docs/­zh/­mainwww.postgres-xl.org/­documentationdocs.scylladb.com
DeveloperProgress Software Corporation4 Paradigm Inc.ScyllaDB
Initial release198420202014 infosince 2012, originally named StormDB2015
Current releaseOpenEdge 12.2, March 20202024-2 February 202410 R1, October 2018ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMozilla public licenseOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
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 languageC++, Java, ScalaCC++
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
macOS
Linux
Data schemeyesFixed schemayesschema-free
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.yesnoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyes infoclose to SQL 92yesyes infodistributed, parallel query executionSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
JDBC
SQLAlchemy
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesProgress proprietary ABL (Advanced Business Language)C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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 proceduresyesnouser defined functionsyes, Lua
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4horizontal partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCno 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.noyesnoyes infoin-memory tables
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
OpenEdgeOpenMLDBPostgres-XLScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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OpenEdgeOpenMLDBPostgres-XLScyllaDB
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