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DBMS > Apache Druid vs. Teradata vs. TerminusDB vs. Transwarp Hippo

System Properties Comparison Apache Druid vs. Teradata vs. TerminusDB vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA hybrid cloud data analytics software platform (Teradata Vantage)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitedruid.apache.orgwww.teradata.comterminusdb.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.teradata.comterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsTeradataDataChemist Ltd.
Initial release2012198420182023
Current release30.0.0, June 2024Teradata Vantage 1.0 MU2, January 201911.0.0, January 20231.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, RustC++
Server operating systemsLinux
OS X
Unix
hosted
Linux
LinuxLinux
macOS
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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.noyesnono
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLSQL for queryingyes infoSQL 2016 + extensionsSQL-like query language (WOQL)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Python
C++
Java
Python
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallelyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoHashingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardRole-based access controlRole based access control and fine grained access rights

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More resources
Apache DruidTeradataTerminusDB infoformer name was DataChemistTranswarp Hippo
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