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DBMS > GeoMesa vs. SAP Adaptive Server vs. ScyllaDB vs. Valentina Server

System Properties Comparison GeoMesa vs. SAP Adaptive Server vs. ScyllaDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonScyllaDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSCassandra and DynamoDB compatible wide column storeObject-relational database and reports server
Primary database modelSpatial DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query ServerKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.geomesa.orgwww.sap.com/­products/­technology-platform/­sybase-ase.htmlwww.scylladb.comwww.valentina-db.net
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhelp.sap.com/­docs/­SAP_ASEdocs.scylladb.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCCRi and othersSAP, SybaseScyllaDBParadigma Software
Initial release2014198720151999
Current release4.0.5, February 202416.0ScyllaDB Open Source 5.4.1, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoOpen Source (AGPL), commercial license availablecommercial
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 languageScalaC and C++C++
Server operating systemsAIX
HP-UX
Linux
Solaris
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeyes
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.nonono
Secondary indexesyesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ODBC
Supported programming languagesC
C++
Cobol
Java
Java
Perl
PHP
Python
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoJava and Transact-SQLyes, Luayes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.depending on storage layeryes infoin-memory tablesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoMesaSAP Adaptive Server infoformer name: Sybase ASEScyllaDBValentina Server
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
GeoMesaSAP Adaptive Server infoformer name: Sybase ASEScyllaDBValentina Server
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