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DBMS > Hypertable vs. NSDb vs. SpaceTime vs. Spark SQL

System Properties Comparison Hypertable vs. NSDb vs. SpaceTime vs. Spark SQL

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonNSDb  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpaceTime is a spatio-temporal DBMS with a focus on performance.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeTime Series DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitensdb.iowww.mireo.com/­spacetimespark.apache.org/­sql
Technical documentationnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHypertable Inc.MireoApache Software Foundation
Initial release2009201720202014
Current release0.9.8.11, March 20163.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ScalaC++Scala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
LinuxLinux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringyesyes
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.nonono
Secondary indexesrestricted infoonly exact value or prefix value scansall fields are automatically indexednono
SQL infoSupport of SQLnoSQL-like query languageA subset of ANSI SQL is implementedSQL-like DML and DDL statements
APIs and other access methodsC++ API
Thrift
gRPC
HTTP REST
WebSocket
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Java
Scala
C#
C++
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingFixed-grid hypercubesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyesno

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More resources
HypertableNSDbSpaceTimeSpark SQL
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