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

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

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonKairosDB  Xexclude from comparisonKingbase  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDistributed Time Series DBMS based on Cassandra or H2An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitecloud.google.com/­bigquerygithub.com/­kairosdb/­kairosdbwww.kingbase.com.cnwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analytics
Technical documentationcloud.google.com/­bigquery/­docskairosdb.github.iowww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analytics
DeveloperGoogleBeiJing KINGBASE Information technologies inc.SymasMicrosoft
Initial release20102013199920112016
Current release1.2.2, November 2018V8.0, August 20210.9.32, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaCC++
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
Linux
Unix
Windows
hosted
Data schemeyesschema-freeyesschema-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.nonoyesnono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLyesnoStandard with numerous extensionsnoyes
APIs and other access methodsRESTful HTTP/JSON APIGraphite protocol
HTTP REST
Telnet API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
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 proceduresuser defined functions infoin JavaScriptnouser defined functionsnoTransact SQL
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono 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 datano infoSince BigQuery is designed for querying datanoACIDACIDACID
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 controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)simple password-based access controlfine grained access rights according to SQL-standardnoyes

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More resources
Google BigQueryKairosDBKingbaseLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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