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DBMS > Hypertable vs. RavenDB vs. SpaceTime vs. Splunk vs. Teradata Aster

System Properties Comparison Hypertable vs. RavenDB vs. SpaceTime vs. Splunk vs. Teradata Aster

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonSplunk  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpaceTime is a spatio-temporal DBMS with a focus on performance.Analytics Platform for Big DataPlatform for big data analytics on multistructured data sources and types
Primary database modelWide column storeDocument storeSpatial DBMSSearch engineRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#102  Overall
#19  Document stores
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score93.02
Rank#13  Overall
#2  Search engines
Websiteravendb.netwww.mireo.com/­spacetimewww.splunk.com
Technical documentationravendb.net/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperHypertable Inc.Hibernating RhinosMireoSplunk Inc.Teradata
Initial release20092010202020032005
Current release0.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercialcommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyesFlexible 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 datenonoyesyesyes
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.noyesyes infoin Aster File Store
Secondary indexesrestricted infoonly exact value or prefix value scansyesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)A subset of ANSI SQL is implementedno infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsC++ API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP APIHTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Python
C#
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesnoyesR packages
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingFixed-grid hypercubesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replicationReal-time block device replication (DRBD)Multi-source replicationyes 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 methodsyesyesnoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availablenono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoAuthorization levels configured per client per databaseyesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
HypertableRavenDBSpaceTimeSplunkTeradata Aster
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