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DBMS > Apache Impala vs. Hypertable vs. Pinecone vs. Sequoiadb

System Properties Comparison Apache Impala vs. Hypertable vs. Pinecone vs. Sequoiadb

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHypertable  Xexclude from comparisonPinecone  Xexclude from comparisonSequoiadb  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 HadoopA managed, cloud-native vector databaseNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSWide column storeVector DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websiteimpala.apache.orgwww.pinecone.iowww.sequoiadb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.pinecone.io/­docs/­overviewwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHypertable Inc.Pinecone Systems, IncSequoiadb Ltd.
Initial release2013200920192013
Current release4.1.0, June 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoString, Number, Booleanyes infooid, date, timestamp, binary, regex
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.nonono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
C++ API
Thrift
RESTful HTTP APIproprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
Perl
PHP
Python
Ruby
Python.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJavaScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDocument is locked during a transaction
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnosimple password-based access control

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More resources
Apache ImpalaHypertablePineconeSequoiadb
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