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DBMS > HarperDB vs. JaguarDB vs. Machbase Neo vs. Sphinx

System Properties Comparison HarperDB vs. JaguarDB vs. Machbase Neo vs. Sphinx

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSphinx  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.Performant, highly scalable DBMS for AI and IoT applicationsTimeSeries DBMS for AIoT and BigDataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeKey-value store
Vector DBMS
Time Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#252  Overall
#38  Document stores
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score0.22
Rank#324  Overall
#29  Time Series DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitewww.harperdb.iowww.jaguardb.commachbase.comsphinxsearch.com
Technical documentationdocs.harperdb.io/­docswww.jaguardb.com/­support.htmlmachbase.com/­dbmssphinxsearch.com/­docs
DeveloperHarperDBDataJaguar, Inc.MachbaseSphinx Technologies Inc.
Initial release2017201520132001
Current release3.1, August 20213.3 July 2023V8.0, August 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPL V3.0commercial infofree test version availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++ infothe server part. Clients available in other languagesCC++
Server operating systemsLinux
OS X
LinuxLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedynamic schemayesyesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesno
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 indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like data manipulation statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
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
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1nonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingShardingSharding 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 definedMulti-source replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesnoyes 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.yesnoyes infovolatile and lookup table
User concepts infoAccess controlAccess rights for users and rolesrights management via user accountssimple password-based access controlno

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More resources
HarperDBJaguarDBMachbase Neo infoFormer name was InfinifluxSphinx
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