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DBMS > Coveo vs. Google BigQuery vs. KairosDB vs. LMDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Coveo vs. Google BigQuery vs. KairosDB vs. LMDB vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonKairosDB  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentLarge scale data warehouse service with append-only tablesDistributed Time Series DBMS based on Cassandra or H2A high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelSearch engineRelational DBMSTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.coveo.comcloud.google.com/­bigquerygithub.com/­kairosdb/­kairosdbwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.coveo.comcloud.google.com/­bigquery/­docskairosdb.github.iowww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCoveoGoogleSymasMicrosoft
Initial release20122010201320112016
Current release1.2.2, November 20180.9.32, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Unix
Windows
hosted
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonononono
Secondary indexesyesnononoyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIGraphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C#
Java
PHP
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnonoTransact SQL
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesyesnoneSharding infobased on CassandranoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)simple password-based access controlnoyes

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More resources
CoveoGoogle BigQueryKairosDBLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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