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DBMS > BoltDB vs. Google Cloud Spanner vs. OrientDB vs. SurrealDB vs. Teradata Aster

System Properties Comparison BoltDB vs. Google Cloud Spanner vs. OrientDB vs. SurrealDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonOrientDB  Xexclude from comparisonSurrealDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.A 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.Multi-model DBMS (Document, Graph, Key/Value)A fully ACID transactional, developer-friendly, multi-model DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Document store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitegithub.com/­boltdb/­boltcloud.google.com/­spannerorientdb.orgsurrealdb.com
Technical documentationcloud.google.com/­spanner/­docswww.orientdb.com/­docs/­last/­index.htmlsurrealdb.com/­docs
DeveloperGoogleOrientDB LTD; CallidusCloud; SAPSurrealDB LtdTeradata
Initial release20132017201020222005
Current release3.2.29, March 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache version 2Open Sourcecommercial
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 languageGoJavaRust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java JDK (>= JDK 6)Linux
macOS
Windows
Linux
Data schemeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011SQL-like query language, no joinsSQL-like query languageyes
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGoGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoJava, JavascriptR packages
TriggersnonoHooksno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.Multi-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno infocould be achieved with distributed queriesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 configurableyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
BoltDBGoogle Cloud SpannerOrientDBSurrealDBTeradata Aster
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