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DBMS > Microsoft Azure Table Storage vs. OpenEdge vs. OpenMLDB vs. ScyllaDB

System Properties Comparison Microsoft Azure Table Storage vs. OpenEdge vs. OpenMLDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonOpenMLDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemAn open-source machine learning database that provides a feature platform for training and inferenceCassandra and DynamoDB compatible wide column store
Primary database modelWide column storeRelational DBMSTime Series DBMSWide column store
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgeopenmldb.aiwww.scylladb.com
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestopenmldb.ai/­docs/­zh/­maindocs.scylladb.com
DeveloperMicrosoftProgress Software Corporation4 Paradigm Inc.ScyllaDB
Initial release2012198420202015
Current releaseOpenEdge 12.2, March 20202024-2 February 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
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, ScalaC++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesFixed schemaschema-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.noyesnono
Secondary indexesnoyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoyes infoclose to SQL 92yesSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
SQLAlchemy
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C++
Go
Java
Python
Scala
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 proceduresnoyesnoyes, Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDnono 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.nonoyesyes infoin-memory tables
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers and groupsfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
Microsoft Azure Table StorageOpenEdgeOpenMLDBScyllaDB
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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More resources
Microsoft Azure Table StorageOpenEdgeOpenMLDBScyllaDB
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