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DBMS > Amazon Aurora vs. Apache Impala vs. Cloudflare Workers KV vs. Drizzle vs. Titan

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Cloudflare Workers KV vs. Drizzle vs. Titan

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDrizzle  Xexclude from comparisonTitan  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­thinkaurelius/­titan
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldevelopers.cloudflare.com/­kv/­apigithub.com/­thinkaurelius/­titan/­wiki
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaCloudflareDrizzle project, originally started by Brian AkerAurelius, owned by DataStax
Initial release20152013201820082012
Current release4.1.0, June 20227.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGNU GPLOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemshostedLinuxhostedFreeBSD
Linux
OS X
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
HTTP REST
Proprietary protocol
JDBCJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBCC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Java
PHP
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenonoyes
Triggersyesnonono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPUser authentification and security via Rexster Graph Server

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More resources
Amazon AuroraApache ImpalaCloudflare Workers KVDrizzleTitan
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