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DBMS > Apache Impala vs. Hypertable vs. RavenDB vs. searchxml

System Properties Comparison Apache Impala vs. Hypertable vs. RavenDB vs. searchxml

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHypertable  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.
DescriptionAnalytic DBMS for HadoopAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSWide column storeDocument storeNative XML DBMS
Search engine
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Websiteimpala.apache.orgravendb.netwww.searchxml.net/­category/­products
Technical documentationimpala.apache.org/­impala-docs.htmlravendb.net/­docswww.searchxml.net/­support/­handouts
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHypertable Inc.Hibernating Rhinosinformationpartners gmbh
Initial release2013200920102015
Current release4.1.0, June 20220.9.8.11, March 20165.4, July 20221.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C#C++
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonoyes
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.noyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (RQL)no
APIs and other access methodsJDBC
ODBC
C++ API
Thrift
.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 languagesAll languages supporting JDBC/ODBCC++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesyes infoon the application server
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelMulti-source replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, Cluster-wide transaction availablemultiple readers, single writer
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAuthorization 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
Apache ImpalaHypertableRavenDBsearchxml
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