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DBMS > Apache Druid vs. Google Cloud Spanner vs. Oracle Berkeley DB vs. TerminusDB

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonOracle Berkeley DB  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.Widely used in-process key-value storeScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
Secondary database modelsDocument 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
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websitedruid.apache.orgcloud.google.com/­spannerwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlterminusdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleDataChemist Ltd.
Initial release2012201719942018
Current release30.0.0, June 202418.1.40, May 202011.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infocommercial license availableOpen 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 languageJavaC, Java, C++ (depending on the Berkeley DB edition)Prolog, Rust
Server operating systemsLinux
OS X
Unix
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infoQuery statements complying to ANSI 2011yes infoSQL interfaced based on SQLite is availableSQL-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
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 infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
JavaScript
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnonoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnoneGraph 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.Source-replica replicationJournaling 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 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 isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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)noRole-based access control

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More resources
Apache DruidGoogle Cloud SpannerOracle Berkeley DBTerminusDB infoformer name was DataChemist
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