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DBMS > LevelDB vs. Sqrrl vs. TDSQL for MySQL vs. Tkrzw vs. Typesense

System Properties Comparison LevelDB vs. Sqrrl vs. TDSQL for MySQL vs. Tkrzw vs. Typesense

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonSqrrl  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTypesense  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 valuesAdaptable, secure NoSQL built on Apache AccumuloA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSKey-value storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.79
Rank#210  Overall
#14  Search engines
Websitegithub.com/­google/­leveldbsqrrl.comwww.tencentcloud.com/­products/­dcdbdbmx.net/­tkrzwtypesense.org
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tencentcloud.com/­document/­product/­1042typesense.org/­docs
DeveloperGoogleAmazon infooriginally Sqrrl Data, Inc.TencentMikio Hirabayashi
Initial release20112012201320202015
Current release1.23, February 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDcommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C++
Server operating systemsIllumos
Linux
OS X
Windows
LinuxhostedLinux
macOS
Linux
Data schemeschema-freeschema-freeyesschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or datenoyesyesnoyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
PHP
Python
Ruby
C++
Java
Python
Ruby
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomaking use of HadoopAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
noneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic updates per row, document, or graph entityACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classesyes
User concepts infoAccess controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Users with fine-grained authorization conceptno

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LevelDBSqrrlTDSQL for MySQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTypesense
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