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DBMS > GeoMesa vs. GeoSpock vs. OpenEdge vs. ScyllaDB

System Properties Comparison GeoMesa vs. GeoSpock vs. OpenEdge vs. ScyllaDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparisonOpenEdge  Xexclude from comparisonScyllaDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scaleApplication development environment with integrated database management systemCassandra and DynamoDB compatible wide column store
Primary database modelSpatial DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitewww.geomesa.orggeospock.comwww.progress.com/­openedgewww.scylladb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.scylladb.com
DeveloperCCRi and othersGeoSpockProgress Software CorporationScyllaDB
Initial release201419842015
Current release5.0.0, May 20242.0, September 2019OpenEdge 12.2, March 2020ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageScalaJava, JavascriptC++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesschema-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.nonoyesno
Secondary indexesyestemporal, categoricalyesyes infocluster global secondary indices
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infoclose to SQL 92SQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBCJDBC
ODBC
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)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 proceduresnonoyesyes, Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerAutomatic shardinghorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationselectable 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 ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno 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.depending on storage layernonoyes infoin-memory tables
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per tableUsers and groupsAccess rights for users can be defined per object
More information provided by the system vendor
GeoMesaGeoSpockOpenEdgeScyllaDB
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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GeoMesaGeoSpockOpenEdgeScyllaDB
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