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DBMS > Hypertable vs. PostgreSQL vs. RavenDB vs. Solr

System Properties Comparison Hypertable vs. PostgreSQL vs. RavenDB vs. Solr

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRavenDB  Xexclude from comparisonSolr  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 HadoopWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelWide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeSearch engine
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Graph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.postgresql.orgravendb.netsolr.apache.org
Technical documentationwww.postgresql.org/­docsravendb.net/­docssolr.apache.org/­resources.html
DeveloperHypertable Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerHibernating RhinosApache Software Foundation
Initial release20091989 info1989: Postgres, 1996: PostgreSQL20102006
Current release0.9.8.11, March 201616.2, February 20245.4, July 20229.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC#Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesnoyes infosupports customizable data types and automatic typing
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.yes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infostandard with numerous extensionsSQL-like query language (RQL)Solr Parallel SQL Interface
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesJava plugins
Triggersnoyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAuthorization levels configured per client per databaseyes

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HypertablePostgreSQLRavenDBSolr
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