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DBMS > Hypertable vs. Microsoft Azure Synapse Analytics vs. OrigoDB vs. RavenDB vs. searchxml

System Properties Comparison Hypertable vs. Microsoft Azure Synapse Analytics vs. OrigoDB vs. RavenDB vs. searchxml

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOrigoDB  Xexclude from comparisonRavenDB  Xexclude from comparisonsearchxml  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 HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA fully ACID in-memory object graph databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelWide column storeRelational DBMSDocument store
Object oriented DBMS
Document storeNative XML DBMS
Search engine
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteazure.microsoft.com/­services/­synapse-analyticsorigodb.comravendb.netwww.searchxml.net/­category/­products
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsorigodb.com/­docsravendb.net/­docswww.searchxml.net/­support/­handouts
DeveloperHypertable Inc.MicrosoftRobert Friberg et alHibernating Rhinosinformationpartners gmbh
Initial release200920162009 infounder the name LiveDB20102015
Current release0.9.8.11, March 20165.4, July 20221.0
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen SourceOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C#C#C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collectionsnoyes
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.nono infocan be achieved using .NETyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesyes
SQL infoSupport of SQLnoyesnoSQL-like query language (RQL)no
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C#
Java
PHP
.Net.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoTransact SQLyesyesyes infoon the application server
Triggersnonoyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesSource-replica replicationMulti-source replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
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.Immediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction availablemultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoyesRole based authorizationAuthorization levels configured per client per databaseDomain, group and role-based access control at the document level and for application services

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More resources
HypertableMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOrigoDBRavenDBsearchxml
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