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DBMS > Apache Impala vs. Heroic vs. Hypertable vs. Manticore Search vs. NSDb

System Properties Comparison Apache Impala vs. Heroic vs. Hypertable vs. Manticore Search vs. NSDb

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonManticore Search  Xexclude from comparisonNSDb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopMulti-storage database for search, including full-text search.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSTime Series DBMSWide column storeSearch engineTime Series DBMS
Secondary database modelsDocument storeTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websiteimpala.apache.orggithub.com/­spotify/­heroicmanticoresearch.comnsdb.io
Technical documentationimpala.apache.org/­impala-docs.htmlspotify.github.io/­heroicmanual.manticoresearch.comnsdb.io/­Architecture
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSpotifyHypertable Inc.Manticore Software
Initial release20132014200920172017
Current release4.1.0, June 20220.9.8.11, March 20166.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoGPL version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++Java, Scala
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
macOS
Windows
Linux
macOS
Data schemeyesschema-freeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes: int, bigint, decimal, string
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.nonoCan index from XMLno
Secondary indexesyesyes infovia Elasticsearchrestricted infoonly exact value or prefix value scansyes infofull-text index on all search fieldsall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonouser defined functionsno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesselectable replication factor on file system levelSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.Using Apache Lucene
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 Kerberosnono

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More resources
Apache ImpalaHeroicHypertableManticore SearchNSDb
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