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DBMS > Databricks vs. Hypertable vs. Newts vs. searchxml vs. Typesense

System Properties Comparison Databricks vs. Hypertable vs. Newts vs. searchxml vs. Typesense

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHypertable  Xexclude from comparisonNewts  Xexclude from comparisonsearchxml  Xexclude from comparisonTypesense  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An open source BigTable implementation based on distributed file systems such as HadoopTime Series DBMS based on CassandraDBMS for structured and unstructured content wrapped with an application serverA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store
Relational DBMS
Wide column storeTime Series DBMSNative XML DBMS
Search engine
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.databricks.comopennms.github.io/­newtswww.searchxml.net/­category/­productstypesense.org
Technical documentationdocs.databricks.comgithub.com/­OpenNMS/­newts/­wikiwww.searchxml.net/­support/­handoutstypesense.org/­docs
DeveloperDatabricksHypertable Inc.OpenNMS Groupinformationpartners gmbh
Initial release20132009201420152015
Current release0.9.8.11, March 20161.0
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C++
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
WindowsLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or datenoyesyesyes
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.yesnoyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoyesyes
SQL infoSupport of SQLwith Databricks SQLnononono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
HTTP REST
Java API
RESTful HTTP API
WebDAV
XQuery
XSLT
RESTful HTTP API
Supported programming languagesPython
R
Scala
C++
Java
Perl
PHP
Python
Ruby
JavaC++ infomost other programming languages supported via APIs.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes infoon the application serverno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelselectable replication factor infobased on Cassandrayes infosychronisation to multiple collectionsMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonomultiple readers, single writerno
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.nononoyes
User concepts infoAccess controlnonoDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
DatabricksHypertableNewtssearchxmlTypesense
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksHypertableNewtssearchxmlTypesense
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