DBMS > Hypertable vs. Ignite vs. SpaceTime
System Properties Comparison Hypertable vs. Ignite vs. SpaceTime
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|Editorial information provided by DB-Engines
|Hypertable Xexclude from comparison
|Ignite Xexclude from comparison
|SpaceTime Xexclude from comparison
|Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
|An open source BigTable implementation based on distributed file systems such as Hadoop
|Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
|SpaceTime is a spatio-temporal DBMS with a focus on performance.
|Primary database model
|Wide column store
|Secondary database models
|Apache Software Foundation
|0.9.8.11, March 2016
|Apache Ignite 2.6
|License Commercial or Open Source
|Open Source GNU version 3. Commercial license available
|Open Source Apache 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|C++, Java, .Net
|Server operating systems
Windows an inofficial Windows port is available
|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.
|restricted only exact value or prefix value scans
|SQL Support of SQL
|ANSI-99 for query and DML statements, subset of DDL
|A subset of ANSI SQL is implemented
|APIs and other access methods
RESTful HTTP API
|RESTful HTTP API
|Supported programming languages
|Server-side scripts Stored procedures
|yes (compute grid and cache interceptors can be used instead)
|yes (cache interceptors and events)
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|selectable replication factor on file system level
|yes (replicated cache)
|Real-time block device replication (DRBD)
|MapReduce Offers an API for user-defined Map/Reduce methods
|yes (compute grid and hadoop accelerator)
|Consistency concepts Methods to ensure consistency in a distributed system
|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
|Security Hooks for custom implementations
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