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DBMS > LevelDB vs. NSDb vs. OrigoDB vs. Sphinx vs. XTDB

System Properties Comparison LevelDB vs. NSDb vs. OrigoDB vs. Sphinx vs. XTDB

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeTime Series DBMSDocument store
Object oriented DBMS
Search engineDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­google/­leveldbnsdb.ioorigodb.comsphinxsearch.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdnsdb.io/­Architectureorigodb.com/­docssphinxsearch.com/­docswww.xtdb.com/­docs
DeveloperGoogleRobert Friberg et alSphinx Technologies Inc.Juxt Ltd.
Initial release201120172009 infounder the name LiveDB20012019
Current release1.23, February 20213.5.1, February 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ScalaC#C++Clojure
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringUser defined using .NET types and collectionsnoyes, extensible-data-notation format
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 infocan be achieved using .NETno
Secondary indexesnoall fields are automatically indexedyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language (SphinxQL)limited SQL, making use of Apache Calcite
APIs and other access methodsgRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Proprietary protocolHTTP REST
JDBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Scala
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Clojure
Java
Server-side scripts infoStored proceduresnonoyesnono
Triggersnoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesUsing Apache Luceneyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoRole based authorizationno

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More resources
LevelDBNSDbOrigoDBSphinxXTDB infoformerly named Crux
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