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DBMS > Hypertable vs. Kinetica vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. Solr

System Properties Comparison Hypertable vs. Kinetica vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. Solr

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 HadoopFully vectorized database across both GPUs and CPUsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelWide column storeRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.kinetica.comazure.microsoft.com/­services/­synapse-analyticsravendb.netsolr.apache.org
Technical documentationdocs.kinetica.comdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docssolr.apache.org/­resources.html
DeveloperHypertable Inc.KineticaMicrosoftHibernating RhinosApache Software Foundation
Initial release20092012201620102006
Current release0.9.8.11, March 20167.1, August 20215.4, July 20229.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++C#Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxhostedLinux
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-freeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesnoyes 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.nonoyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query language (RQL)Solr Parallel SQL Interface
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.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
C++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
.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 functionsTransact SQLyesJava plugins
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, Cluster-wide transaction availableoptimistic locking
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.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelyesAuthorization levels configured per client per databaseyes

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More resources
HypertableKineticaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDBSolr
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