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DBMS > Amazon DocumentDB vs. CrateDB vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon DocumentDB vs. CrateDB vs. Hawkular Metrics vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCrateDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDistributed Database based on LuceneHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­documentdbcratedb.comwww.hawkular.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationaws.amazon.com/­documentdb/­resourcescratedb.com/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­azure/­synapse-analytics
DeveloperCrateCommunity supported by Red HatMicrosoft
Initial release2019201320142016
Current release5.8.1, August 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Windows
hosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Go
Java
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnouser defined functions (Javascript)noTransact SQL
Triggersnonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasConfigurable replication on table/partition-levelselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono 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-document operationsno infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACID
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.nono
User concepts infoAccess controlAccess rights for users and rolesrights management via user accountsnoyes

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More resources
Amazon DocumentDBCrateDBHawkular MetricsMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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