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DBMS > Apache Druid vs. Google Cloud Spanner vs. Oracle Coherence vs. TerminusDB

System Properties Comparison Apache Druid vs. Google Cloud Spanner vs. Oracle Coherence vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Oracles in-memory data grid solutionScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitedruid.apache.orgcloud.google.com/­spannerwww.oracle.com/­java/­coherenceterminusdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherenceterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsGoogleOracleDataChemist Ltd.
Initial release2012201720072018
Current release29.0.1, April 202414.1, August 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaProlog, Rust
Server operating systemsLinux
OS X
Unix
hostedAll OS with a Java VMLinux
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL for queryingyes infoQuery statements complying to ANSI 2011noSQL-like query language (WOQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JCache
JPA
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnonoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication with 3 replicas for regional instances.yes, with selectable consistency levelJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)authentification to access the cache via certificates or http basic authenticationRole-based access control

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More resources
Apache DruidGoogle Cloud SpannerOracle CoherenceTerminusDB infoformer name was DataChemist
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