DBMS > Snowflake vs. SpaceTime vs. Teradata Aster
System Properties Comparison Snowflake vs. SpaceTime vs. Teradata Aster
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|Editorial information provided by DB-Engines
|Snowflake Xexclude from comparison
|SpaceTime Xexclude from comparison
|Teradata Aster Xexclude from comparison
|Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
|Cloud-based data warehousing service for structured and semi-structured data
|SpaceTime is a spatio-temporal DBMS with a focus on performance.
|Platform for big data analytics on multistructured data sources and types
|Primary database model
|Secondary database models
|Snowflake Computing Inc.
|License Commercial or Open Source
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|yes support of semi-structured data formats (JSON, XML, Avro)
|Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store
|Typing predefined data types such as float or date
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes in Aster File Store
|SQL Support of SQL
|A subset of ANSI SQL is implemented
|APIs and other access methods
|RESTful HTTP API
|Supported programming languages
|Server-side scripts Stored procedures
|user defined functions
|no similar concept for controling cloud resources
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|Real-time block device replication (DRBD)
|yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
|MapReduce Offers an API for user-defined Map/Reduce methods
|yes SQL Map-Reduce Framework
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate Consistency or Eventual Consistency depending on configuration
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Users with fine-grained authorization concept, user roles and pluggable authentication
|fine grained access rights according to SQL-standard
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|Related products and services
|CData: Connect to Big Data & NoSQL through standard Drivers.
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|DB-Engines blog posts
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