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DBMS > Apache IoTDB vs. HarperDB vs. Manticore Search vs. Oracle Rdb vs. Sphinx

System Properties Comparison Apache IoTDB vs. HarperDB vs. Manticore Search vs. Oracle Rdb vs. Sphinx

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHarperDB  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Multi-storage database for search, including full-text search.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSDocument storeSearch engineRelational DBMSSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteiotdb.apache.orgwww.harperdb.iomanticoresearch.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.harperdb.io/­docsmanual.manticoresearch.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docs
DeveloperApache Software FoundationHarperDBManticore SoftwareOracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.
Initial release20182017201719842001
Current release1.1.0, April 20233.1, August 20216.0, February 20237.4.1.1, 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoGPL version 2commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
FreeBSD
Linux
macOS
Windows
HP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesdynamic schemaFixed schemaFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesno
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 indexesyesyesyes infofull-text index on all search fieldsyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL-like data manipulation statementsSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
Native API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1user defined functionsno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)A table resides as a whole on one (or more) nodes in a clusterSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infothe nodes on which a table resides can be definedSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsyes infoisolated transactions for atomic changes and binary logging for safe writesyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoThe original contents of fields are not stored in the Manticore index.yesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesAccess rights for users and rolesnono

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More resources
Apache IoTDBHarperDBManticore SearchOracle RdbSphinx
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