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DBMS > LMDB vs. RavenDB vs. Spark SQL vs. Sphinx vs. Stardog

System Properties Comparison LMDB vs. RavenDB vs. Spark SQL vs. Sphinx vs. Stardog

Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databasesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeDocument storeRelational DBMSSearch engineGraph DBMS
RDF store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#125  Overall
#21  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.symas.com/­symas-embedded-database-lmdbravendb.netspark.apache.org/­sqlsphinxsearch.comwww.stardog.com
Technical documentationwww.lmdb.tech/­docravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docsdocs.stardog.com
DeveloperSymasHibernating RhinosApache Software FoundationSphinx Technologies Inc.Stardog-Union
Initial release20112010201420012010
Current release0.9.32, January 20245.4, July 20223.5.0 ( 2.13), September 20233.5.1, February 20237.3.0, May 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#ScalaC++Java
Server operating systemsLinux
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesnoyes
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 infoImport/export of XML data possible
Secondary indexesnoyesnoyes infofull-text index on all search fieldsyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSQL-like query language (RQL)SQL-like DML and DDL statementsSQL-like query language (SphinxQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Proprietary protocolGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesnonouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesnonoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnonenoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availablenonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesnoyes
User concepts infoAccess controlnoAuthorization levels configured per client per databasenonoAccess rights for users and roles

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More resources
LMDBRavenDBSpark SQLSphinxStardog
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