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DBMS > Amazon Aurora vs. Apache Impala vs. Bangdb vs. Ehcache

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Bangdb vs. Ehcache

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonBangdb  Xexclude from comparisonEhcache  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopConverged and high performance database for device data, events, time series, document and graphA widely adopted Java cache with tiered storage options
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Key-value store
Secondary database modelsDocument storeDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgbangdb.comwww.ehcache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldocs.bangdb.comwww.ehcache.org/­documentation
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaSachin Sinha, BangDBTerracotta Inc, owned by Software AG
Initial release2015201320122009
Current release4.1.0, June 2022BangDB 2.0, October 20213.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoBSD 3Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++Java
Server operating systemshostedLinuxLinuxAll OS with a Java VM
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsyes
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.yesnonono
Secondary indexesyesyesyes infosecondary, composite, nested, reverse, geospatialno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL like support with command line toolno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
JCache
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#
C++
Java
Python
Java
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenono
Triggersyesnoyes, Notifications (with Streaming only)yes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication factor, Knob for CAP (enterprise version only)yes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyTunable consistency, set CAP knob accordinglyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes infousing a tiered cache-storage approach
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, run db with in-memory only modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes (enterprise version only)no

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More resources
Amazon AuroraApache ImpalaBangdbEhcache
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