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DBMS > LevelDB vs. Manticore Search vs. Postgres-XL vs. Sqrrl

System Properties Comparison LevelDB vs. Manticore Search vs. Postgres-XL vs. Sqrrl

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonManticore Search  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMulti-storage database for search, including full-text search.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeSearch engineRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.23
Rank#301  Overall
#21  Search engines
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websitegithub.com/­google/­leveldbmanticoresearch.comwww.postgres-xl.orgsqrrl.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmanual.manticoresearch.comwww.postgres-xl.org/­documentation
DeveloperGoogleManticore SoftwareAmazon infooriginally Sqrrl Data, Inc.
Initial release201120172014 infosince 2012, originally named StormDB2012
Current release1.23, February 20216.0, February 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoGPL version 2Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++CJava
Server operating systemsIllumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Linux
macOS
Linux
Data schemeschema-freeFixed schemayesschema-free
Typing infopredefined data types such as float or datenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLyes infoXML type, but no XML query functionality
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infodistributed, parallel query executionno
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACID infoMVCCAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnonofine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
LevelDBManticore SearchPostgres-XLSqrrl
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