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DBMS > Coveo vs. Google Cloud Bigtable vs. Manticore Search vs. MarkLogic vs. Microsoft Azure Synapse Analytics

System Properties Comparison Coveo vs. Google Cloud Bigtable vs. Manticore Search vs. MarkLogic vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonManticore Search  Xexclude from comparisonMarkLogic  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 developmentGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Multi-storage database for search, including full-text search.Operational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelSearch engineKey-value store
Wide column store
Search engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.29
Rank#302  Overall
#21  Search engines
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
Websitewww.coveo.comcloud.google.com/­bigtablemanticoresearch.comwww.progress.com/­marklogicazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.coveo.comcloud.google.com/­bigtable/­docsmanual.manticoresearch.comwww.progress.com/­marklogic/­documentationdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCoveoGoogleManticore SoftwareMarkLogic Corp.Microsoft
Initial release20122015201720012016
Current release6.0, February 202311.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2commercial inforestricted free version is availablecommercial
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 languageC++C++C++
Server operating systemshostedhostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
hosted
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeFixed schemaschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesnoInt, 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.nonoCan index from XMLyesno
Secondary indexesyesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes infoSQL92yes
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
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
Supported programming languagesC#
Java
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnonouser defined functionsyes infovia XQuery or JavaScriptTransact SQL
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesSynchronous replication based on Galera libraryyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)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 datayesAtomic single-row operationsyes infoisolated transactions for atomic changes and binary logging for safe writesACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyes, with Range Indexes
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole-based access control at the document and subdocument levelsyes

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More resources
CoveoGoogle Cloud BigtableManticore SearchMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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