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DBMS > Amazon CloudSearch vs. Databricks vs. Hawkular Metrics vs. TiDB

System Properties Comparison Amazon CloudSearch vs. Databricks vs. Hawkular Metrics vs. TiDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabricks  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelSearch engineDocument store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score4.09
Rank#72  Overall
#38  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.databricks.comwww.hawkular.orgpingcap.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.pingcap.com/­tidb/­stable
DeveloperAmazonDatabricksCommunity supported by Red HatPingCAP, Inc.
Initial release2012201320142016
Current release8.2.0, July 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageJavaGo, Rust
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyes infoall search fields are automatically indexedyesnoyes
SQL infoSupport of SQLnowith Databricks SQLnoyes
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
HTTP RESTGORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesPython
R
Scala
Go
Java
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infobased on Cassandrahorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesselectable replication factor infobased on CassandraUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nonono
User concepts infoAccess controlauthentication via encrypted signaturesnoFine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchDatabricksHawkular MetricsTiDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
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Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
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Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
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Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
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Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
Amazon CloudSearchDatabricksHawkular MetricsTiDB
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