DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Bigtable vs. MarkLogic vs. Memgraph vs. Microsoft Azure Synapse Analytics vs. Trafodion

System Properties Comparison Google Cloud Bigtable vs. MarkLogic vs. Memgraph vs. Microsoft Azure Synapse Analytics vs. Trafodion

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMarkLogic  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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 databaseAn open source graph database built for real-time streaming and compatible with Neo4jElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Wide column store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMSRelational DBMSRelational 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
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitecloud.google.com/­bigtablewww.progress.com/­marklogicmemgraph.comazure.microsoft.com/­services/­synapse-analyticstrafodion.apache.org
Technical documentationcloud.google.com/­bigtable/­docswww.progress.com/­marklogic/­documentationmemgraph.com/­docsdocs.microsoft.com/­azure/­synapse-analyticstrafodion.apache.org/­documentation.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGoogleMarkLogic Corp.Memgraph LtdMicrosoftApache Software Foundation, originally developed by HP
Initial release20152001201720162014
Current release11.0, December 20222.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++C++, Java
Server operating systemshostedLinux
OS X
Windows
LinuxhostedLinux
Data schemeschema-freeschema-free infoSchema can be enforcedschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesnonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoSQL92noyesyes
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
Bolt protocol
Cypher query language
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptTransact SQLJava Stored Procedures
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesMulti-source replication using RAFTyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonoyes infovia user defined functions and HBase
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno 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 dataAtomic single-row operationsACID infocan act as a resource manager in an XA/JTA transactionACID infowith snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyesno
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 levelsUsers, roles and permissionsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud BigtableMarkLogicMemgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTrafodion
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud BigtableMarkLogicMemgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTrafodion
Recent citations in the news

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

Google Cloud makes it cheaper to run smaller workloads on Bigtable
7 April 2020, TechCrunch

Google introduces Cloud Bigtable managed NoSQL database to process data at scale
6 May 2015, VentureBeat

provided by Google News

MarkLogic “The NoSQL Database”. In the MarkLogic Query Console, you can… | by Abhay Srivastava | Apr, 2024
22 April 2024, Medium

Database Platform to Simplify Complex Data | Progress Marklogic
7 February 2023, Progress Software

AI can make logistics data as valuable as intelligence or operational data for mission success
17 April 2024, Breaking Defense

Seven Quick Steps to Setting Up MarkLogic Server in Kubernetes
1 February 2024, release.nl

Intelligence for multi-domain warfighters can now be sourced from logistics operations
13 May 2024, Breaking Defense

provided by Google News

Enhance Your Network Analysis with the Power of a Graph DB
4 May 2024, Towards Data Science

Graph database company Memgraph raises $9.34M
5 October 2021, VentureBeat

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ...
7 August 2023, PR Newswire

Croatian graph database startup Memgraph raises €8M with Microsoft as key investor, plans to boost R&D
20 October 2021, The Recursive

Modeling and Navigating a Transportation Network with Memgraph
12 April 2021, Towards Data Science

provided by Google News

General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates
8 April 2024, Microsoft

Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates
22 March 2024, Microsoft

Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform
24 September 2023, DataScientest

Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services
18 October 2023, AWS Blog

Azure Synapse vs. Databricks: Data Platform Comparison 2024
26 March 2024, eWeek

provided by Google News

Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

HP Throws Trafodion Hat into OLTP Hadoop Ring
14 July 2014, Datanami

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

Apache Software Foundation Releases its 2019 Fiscal Year Report
17 August 2019, Open Source For You

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here