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DBMS > Hypertable vs. Kinetica vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. RavenDB

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

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  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 CPUsMulti-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeRelational DBMSSearch engineRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS infousing the Manticore Columnar LibraryGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.kinetica.commanticoresearch.comazure.microsoft.com/­services/­synapse-analyticsravendb.net
Technical documentationdocs.kinetica.commanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docs
DeveloperHypertable Inc.KineticaManticore SoftwareMicrosoftHibernating Rhinos
Initial release20092012201720162010
Current release0.9.8.11, March 20167.1, August 20216.0, February 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoGPL version 2commercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C++C++C#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxFreeBSD
Linux
macOS
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesFixed schemayesschema-free
Typing infopredefined data types such as float or datenoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesno
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.noCan index from XMLno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyesSQL-like query language (RQL)
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
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
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsTransact SQLyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationSynchronous replication based on Galera libraryyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
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.
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users and roles on table levelnoyesAuthorization levels configured per client per database

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More resources
HypertableKineticaManticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDB
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