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DBMS > HarperDB vs. Sphinx vs. YottaDB

System Properties Comparison HarperDB vs. Sphinx vs. YottaDB

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonSphinx  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionUltra-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.Open source search engine for searching in data from different sources, e.g. relational databasesA fast and solid embedded Key-value store
Primary database modelDocument storeSearch engineKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.harperdb.iosphinxsearch.comyottadb.com
Technical documentationdocs.harperdb.io/­docssphinxsearch.com/­docsyottadb.com/­resources/­documentation
DeveloperHarperDBSphinx Technologies Inc.YottaDB, LLC
Initial release201720012001
Current release3.1, August 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++C
Server operating systemsLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
Data schemedynamic schemayesschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesnono
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.nono
Secondary indexesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like data manipulation statementsSQL-like query language (SphinxQL)by using the Octo plugin
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary protocolPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1no
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definednoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes, using LMDByes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesnoUsers and groups based on OS-security mechanisms

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More resources
HarperDBSphinxYottaDB
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