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DBMS > GeoSpock vs. Postgres-XL vs. ScyllaDB

System Properties Comparison GeoSpock vs. Postgres-XL vs. ScyllaDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonPostgres-XL  Xexclude from comparisonScyllaDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitegeospock.comwww.postgres-xl.orgwww.scylladb.com
Technical documentationwww.postgres-xl.org/­documentationdocs.scylladb.com
DeveloperGeoSpockScyllaDB
Initial release2014 infosince 2012, originally named StormDB2015
Current release2.0, September 201910 R1, October 2018ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
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 languageJava, JavascriptCC++
Server operating systemshostedLinux
macOS
Linux
Data schemeyesyesschema-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.noyes infoXML type, but no XML query functionalityno
Secondary indexestemporal, categoricalyesyes infocluster global secondary indices
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes infodistributed, parallel query executionSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBCADO.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 languages.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 proceduresnouser defined functionsyes, Lua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable 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 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 datanoACID infoMVCCno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
GeoSpockPostgres-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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GeoSpockPostgres-XLScyllaDB
Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

Imagining an 'Everything Connected' World With Geospock | AWS Startups Blog
20 June 2019, AWS Blog

nChain Leads Investment Round in Extreme-scale Data Firm GeoSpock
2 October 2020, AlexaBlockchain

Smart Cities, Autonomous Vehicles, Artificial General Intelligence Robotics: Q&A with Steve Marsh, GeoSpock
16 May 2018, ExchangeWire

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

provided by Google News

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17 October 2023, Datanami

Running ScyllaDB NoSQL on Kubernetes with Spot Instances
10 July 2023, The New Stack

ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale | Amazon Web Services
6 January 2023, AWS Blog

ScyllaDB Database Review | eWeek
21 August 2018, eWeek

provided by Google News



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