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DBMS > GeoSpock vs. Rockset vs. ScyllaDB vs. Teradata Aster

System Properties Comparison GeoSpock vs. Rockset vs. ScyllaDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonRockset  Xexclude from comparisonScyllaDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA scalable, reliable search and analytics service in the cloud, built on RocksDBCassandra and DynamoDB compatible wide column storePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument storeWide column storeRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#211  Overall
#35  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitegeospock.comrockset.comwww.scylladb.com
Technical documentationdocs.rockset.comdocs.scylladb.com
DeveloperGeoSpockRocksetScyllaDBTeradata
Initial release201920152005
Current release2.0, September 2019ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
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, JavascriptC++C++
Server operating systemshostedhostedLinuxLinux
Data schemeyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesdynamic typingyesyes
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.nono infoingestion from XML files supportednoyes infoin Aster File Store
Secondary indexestemporal, categoricalall fields are automatically indexedyes infocluster global secondary indicesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)Read-only SQL queries, including JOINsSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsJDBCHTTP RESTProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
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
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoyes, LuaR packages
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operationsACID
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.noyes infoin-memory tablesno
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoSpockRocksetScyllaDBTeradata Aster
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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GeoSpockRocksetScyllaDBTeradata Aster
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