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DBMS > Apache IoTDB vs. Datastax Enterprise vs. Datomic vs. SAP SQL Anywhere vs. Teradata Aster

System Properties Comparison Apache IoTDB vs. Datastax Enterprise vs. Datomic vs. SAP SQL Anywhere vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDatomic  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsPlatform for big data analytics on multistructured data sources and types
Primary database modelTime Series DBMSWide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websiteiotdb.apache.orgwww.datastax.com/­products/­datastax-enterprisewww.datomic.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.datastax.comdocs.datomic.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software FoundationDataStaxCognitectSAP infoformerly SybaseTeradata
Initial release20182011201219922005
Current release1.1.0, April 20236.8, April 20201.0.6735, June 202317, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaJavaJava, Clojure
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statements (CQL); Spark SQLnoyesyes
APIs and other access methodsJDBC
Native API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnoyes infoTransaction Functionsyes, in C/C++, Java, .Net or PerlR packages
TriggersyesyesBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infono "single point of failure"none infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasconfigurable replication factor, datacenter aware, advanced replication for edge computingnone infoBut extensive use of caching in the application peersSource-replica replication infoDatabase mirroringyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlyesAccess rights for users can be defined per objectnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBDatastax EnterpriseDatomicSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTeradata Aster
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Apache IoTDBDatastax EnterpriseDatomicSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTeradata Aster
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