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DBMS > Hypertable vs. InfinityDB vs. PostgreSQL vs. RisingWave

System Properties Comparison Hypertable vs. InfinityDB vs. PostgreSQL vs. RisingWave

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRisingWave  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 HadoopA Java embedded Key-Value Store which extends the Java Map interfaceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelWide column storeKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#365  Overall
#55  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websiteboilerbay.comwww.postgresql.orgwww.risingwave.com/­database
Technical documentationboilerbay.com/­infinitydb/­manualwww.postgresql.org/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperHypertable Inc.Boiler Bay Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerRisingWave Labs
Initial release200920021989 info1989: Postgres, 1996: PostgreSQL2022
Current release0.9.8.11, March 20164.016.3, May 20241.2, September 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoBSDOpen Source infoApache Version 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++JavaCRust
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Docker
Linux
macOS
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or datenoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesStandard SQL-types and JSON
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesrestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsyes
APIs and other access methodsC++ API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
PostgreSQL wire protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.UDFs in Python or Java
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnoneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardUsers and Roles

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HypertableInfinityDBPostgreSQLRisingWave
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