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DBMS > Amazon Aurora vs. Apache IoTDB vs. Bangdb vs. XTDB

System Properties Comparison Amazon Aurora vs. Apache IoTDB vs. Bangdb vs. XTDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache IoTDB  Xexclude from comparisonBangdb  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkConverged and high performance database for device data, events, time series, document and graphA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSTime Series DBMSDocument store
Graph DBMS
Time Series DBMS
Document store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteaws.amazon.com/­rds/­auroraiotdb.apache.orgbangdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.bangdb.comwww.xtdb.com/­docs
DeveloperAmazonApache Software FoundationSachin Sinha, BangDBJuxt Ltd.
Initial release2015201820122019
Current release1.1.0, April 2023BangDB 2.0, October 20211.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Clojure
Server operating systemshostedAll OS with a Java VM (>= 1.8)LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsyes, extensible-data-notation format
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, geospatialyes
SQL infoSupport of SQLyesSQL-like query languageSQL like support with command line toollimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
Native API
Proprietary protocol
RESTful HTTP API
HTTP REST
JDBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
Python
Clojure
Java
Server-side scripts infoStored proceduresyesyesnono
Triggersyesyesyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor, Knob for CAP (enterprise version only)yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Tunable consistency, set CAP knob accordingly
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, run db with in-memory only mode
User concepts infoAccess controlfine grained access rights according to SQL-standardyesyes (enterprise version only)

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More resources
Amazon AuroraApache IoTDBBangdbXTDB infoformerly named Crux
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