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DBMS > Coveo vs. Firebird vs. Microsoft Azure Synapse Analytics vs. Pinecone

System Properties Comparison Coveo vs. Firebird vs. Microsoft Azure Synapse Analytics vs. Pinecone

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonFirebird  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentFirebird is an open source RDBMS forked from Borland's InterBaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA managed, cloud-native vector database
Primary database modelSearch engineRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitewww.coveo.comwww.firebirdsql.orgazure.microsoft.com/­services/­synapse-analyticswww.pinecone.io
Technical documentationdocs.coveo.comwww.firebirdsql.org/­en/­reference-manualsdocs.microsoft.com/­azure/­synapse-analyticsdocs.pinecone.io/­docs/­overview
DeveloperCoveoFirebird FoundationMicrosoftPinecone Systems, Inc
Initial release20122000 infoAs fork of Borland's InterBase20162019
Current release5.0.0, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedhosted
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, 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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsRESTful HTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
Java
PHP
Python
Server-side scripts infoStored proceduresnoPSQLTransact SQL
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesyesnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno 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 datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.no
User concepts infoAccess controlgranular access controls, API key management, content filtersUsers with fine-grained authorization conceptyes

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More resources
CoveoFirebirdMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePinecone
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