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DBMS > Lovefield vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. MonetDB

System Properties Comparison Lovefield vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. MonetDB

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptMulti-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA relational database management system that stores data in columns
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMS
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
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitegoogle.github.io/­lovefieldmanticoresearch.comazure.microsoft.com/­services/­synapse-analyticswww.monetdb.org
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analyticswww.monetdb.org/­Documentation
DeveloperGoogleManticore SoftwareMicrosoftMonetDB BV
Initial release2014201720162004
Current release2.1.12, February 20176.0, February 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2commercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C++C
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
macOS
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, 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 XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternSQL-like query languageyesyes infoSQL 2003 with some extensions
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesJavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsTransact SQLyes, in SQL, C, R
TriggersUsing read-only observersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioningSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryyesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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.yes infousing MemoryDB
User concepts infoAccess controlnonoyesfine grained access rights according to SQL-standard

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More resources
LovefieldManticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMonetDB
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