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DBMS > BoltDB vs. Google Cloud Datastore vs. OrientDB vs. Teradata Aster vs. Titan

System Properties Comparison BoltDB vs. Google Cloud Datastore vs. OrientDB vs. Teradata Aster vs. Titan

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOrientDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTitan  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionAn embedded key-value store for Go.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMulti-model DBMS (Document, Graph, Key/Value)Platform for big data analytics on multistructured data sources and typesTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value storeDocument storeDocument store
Graph DBMS
Key-value store
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitegithub.com/­boltdb/­boltcloud.google.com/­datastoreorientdb.orggithub.com/­thinkaurelius/­titan
Technical documentationcloud.google.com/­datastore/­docswww.orientdb.com/­docs/­last/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogleOrientDB LTD; CallidusCloud; SAPTeradataAurelius, owned by DataStax
Initial release20132008201020052012
Current release3.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache version 2commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java JDK (>= JDK 6)LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or datenoyes, details hereyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)SQL-like query language, no joinsyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGo.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
Clojure
Java
Python
Server-side scripts infoStored proceduresnousing Google App EngineJava, JavascriptR packagesyes
TriggersnoCallbacks using the Google Apps EngineHooksnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno infocould be achieved with distributed queriesyes infoSQL Map-Reduce Frameworkyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyes inforelationship in graphsnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles; record level security configurablefine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
BoltDBGoogle Cloud DatastoreOrientDBTeradata AsterTitan
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