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DBMS > Apache Phoenix vs. Databend vs. Google Cloud Spanner vs. SAP Advantage Database Server

System Properties Comparison Apache Phoenix vs. Databend vs. Google Cloud Spanner vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatabend  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA 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.Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Websitephoenix.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­spannerwww.sap.com/products/advantage-database-server.html
Technical documentationphoenix.apache.orgdocs.databend.comcloud.google.com/­spanner/­docs
DeveloperApache Software FoundationDatabend LabsGoogleSybase, SAP
Initial release2014202120171993
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.59, April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
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 languageJavaRust
Server operating systemsLinux
Unix
Windows
hosted
Linux
macOS
hostedLinux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesyesyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsJDBCCLI Client
JDBC
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
Delphi
Perl
PHP
Server-side scripts infoStored proceduresuser defined functionsnonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication with 3 replicas for regional instances.Multi-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID 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.yesnono infocaching of (temporary) tables can be configured
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Apache PhoenixDatabendGoogle Cloud SpannerSAP Advantage Database Server infoformer name: Sybase ADS
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