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DBMS > BoltDB vs. Databricks vs. LokiJS vs. Sphinx

System Properties Comparison BoltDB vs. Databricks vs. LokiJS vs. Sphinx

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonLokiJS  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embedded key-value store for Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.In-memory JavaScript DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeDocument store
Relational DBMS
Document storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­boltdb/­boltwww.databricks.comgithub.com/­techfort/­LokiJSsphinxsearch.com
Technical documentationdocs.databricks.comtechfort.github.io/­LokiJSsphinxsearch.com/­docs
DeveloperDatabricksSphinx Technologies Inc.
Initial release2013201320142001
Current release3.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScriptC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenonono
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.noyesno
Secondary indexesnoyesyes infovia viewsyes infofull-text index on all search fields
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JavaScript APIProprietary protocol
Supported programming languagesGoPython
R
Scala
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functions and aggregatesView functions in JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes 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.nonoyes
User concepts infoAccess controlnonono
More information provided by the system vendor
BoltDBDatabricksLokiJSSphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BoltDBDatabricksLokiJSSphinx
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