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DBMS > Google Cloud Bigtable vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. Qdrant vs. ReductStore

System Properties Comparison Google Cloud Bigtable vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. Qdrant vs. ReductStore

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQdrant  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Operational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high-performance vector database with neural network or semantic-based matchingDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelKey-value store
Wide column store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitecloud.google.com/­bigtablewww.marklogic.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­reductstore
www.reduct.store
Technical documentationcloud.google.com/­bigtable/­docsdocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analyticsqdrant.tech/­documentationwww.reduct.store/­docs
DeveloperGoogleMarkLogic Corp.MicrosoftQdrantReductStore LLC
Initial release20152001201620212023
Current release11.0, December 20221.9, March 2024
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialOpen Source infoApache Version 2.0Open Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++RustC++, Rust
Server operating systemshostedLinux
OS X
Windows
hostedDocker
Linux
macOS
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or datenoyesyesNumbers, Strings, Geo, Boolean
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.noyesnono
Secondary indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyes infoSQL92yesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptTransact SQL
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesyesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono 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 dataAtomic single-row operationsACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control at the document and subdocument levelsyesKey-based authentication

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More resources
Google Cloud BigtableMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQdrantReductStore
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