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DBMS > LevelDB vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. TDengine vs. Tkrzw

System Properties Comparison LevelDB vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. TDengine vs. Tkrzw

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTDengine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTime Series DBMS and big data platformA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeSearch engineRelational DBMSTime Series DBMSKey-value store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.29
Rank#302  Overall
#21  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­google/­leveldbmanticoresearch.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­taosdata/­TDengine
tdengine.com
dbmx.net/­tkrzw
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.tdengine.com
DeveloperGoogleManticore SoftwareMicrosoftTDEngine, previously Taos DataMikio Hirabayashi
Initial release20112017201620192020
Current release1.23, February 20216.0, February 20233.0, August 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoGPL version 2commercialOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache Version 2.0
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++C++C++CC++
Server operating systemsIllumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
hostedLinux
Windows
Linux
macOS
Data schemeschema-freeFixed schemayesyesschema-free
Typing infopredefined data types such as float or datenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesno
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 XMLnonono
Secondary indexesnoyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLnoSQL-like query languageyesStandard SQL with extensions for time-series applicationsno
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
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
C#
Java
PHP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsTransact SQLnono
Triggersnononoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing specific database classes
User concepts infoAccess controlnonoyesyesno
More information provided by the system vendor
LevelDBManticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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