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DBMS > Amazon SimpleDB vs. Databricks vs. Titan vs. XTDB

System Properties Comparison Amazon SimpleDB vs. Databricks vs. Titan vs. XTDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatabricks  Xexclude from comparisonTitan  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
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.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreThe 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.Titan is a Graph DBMS optimized for distributed clusters.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeDocument store
Relational DBMS
Graph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteaws.amazon.com/­simpledbwww.databricks.comgithub.com/­thinkaurelius/­titangithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.databricks.comgithub.com/­thinkaurelius/­titan/­wikiwww.xtdb.com/­docs
DeveloperAmazonDatabricksAurelius, owned by DataStaxJuxt Ltd.
Initial release2007201320122019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license, version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaClojure
Server operating systemshostedhostedLinux
OS X
Unix
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyesyes, 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.yesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnowith Databricks SQLnolimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Python
R
Scala
Clojure
Java
Python
Clojure
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes, 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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)User authentification and security via Rexster Graph Server
More information provided by the system vendor
Amazon SimpleDBDatabricksTitanXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon SimpleDBDatabricksTitanXTDB infoformerly named Crux
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