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DBMS > Google Cloud Bigtable vs. HarperDB vs. Oracle Coherence vs. TerminusDB vs. TimesTen

System Properties Comparison Google Cloud Bigtable vs. HarperDB vs. Oracle Coherence vs. TerminusDB vs. TimesTen

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Oracles in-memory data grid solutionScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value store
Wide column store
Document storeKey-value storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.60
Rank#244  Overall
#38  Document stores
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitecloud.google.com/­bigtablewww.harperdb.iowww.oracle.com/­java/­coherenceterminusdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­bigtable/­docsdocs.harperdb.io/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherenceterminusdb.github.io/­terminusdb/­#docs.oracle.com/­database/­timesten-18.1
DeveloperGoogleHarperDBOracleDataChemist Ltd.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20152017200720181998
Current release3.1, August 202114.1, August 202311.0.0, January 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaProlog, Rust
Server operating systemshostedLinux
OS X
All OS with a Java VMLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freedynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infoJSON data typesyesyesyes
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.nonononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsnoSQL-like query language (WOQL)yes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JCache
JPA
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C++
Java
JavaScript
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1noyesPL/SQL
Triggersnonoyes infoLive Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infothe nodes on which a table resides can be definedyes, with selectable consistency levelJournaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic execution of specific operationsconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infooptionallyyes infoin-memory journalingyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesauthentification to access the cache via certificates or http basic authenticationRole-based access controlfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableHarperDBOracle CoherenceTerminusDB infoformer name was DataChemistTimesTen
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