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DBMS > Apache HBase vs. Atos Standard Common Repository vs. Google Cloud Spanner vs. SurrealDB

System Properties Comparison Apache HBase vs. Atos Standard Common Repository vs. Google Cloud Spanner vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache HBase  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSurrealDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA 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.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelWide column storeDocument store
Key-value store
Relational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.62
Rank#27  Overall
#3  Wide column stores
Score2.56
Rank#97  Overall
#50  Relational DBMS
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Websitehbase.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­spannersurrealdb.com
Technical documentationhbase.apache.org/­book.htmlcloud.google.com/­spanner/­docssurrealdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetAtos Convergence CreatorsGoogleSurrealDB Ltd
Initial release2008201620172022
Current release2.3.4, January 20211703v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaRust
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxhostedLinux
macOS
Windows
Data schemeschema-free, schema definition possibleSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROoptionalyesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011SQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
LDAPgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)Atomic execution of specific operationsACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes, based on authentication and database rules

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More resources
Apache HBaseAtos Standard Common RepositoryGoogle Cloud SpannerSurrealDB
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