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DBMS > EXASOL vs. Google Cloud Spanner vs. H2 vs. Interbase vs. RavenDB

System Properties Comparison EXASOL vs. Google Cloud Spanner vs. H2 vs. Interbase vs. RavenDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonH2  Xexclude from comparisonInterbase  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Light-weight proven RDBMS infooriginally from BorlandOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.exasol.comcloud.google.com/­spannerwww.h2database.comwww.embarcadero.com/­products/­interbaseravendb.net
Technical documentationwww.exasol.com/­resourcescloud.google.com/­spanner/­docswww.h2database.com/­html/­main.htmldocs.embarcadero.com/­products/­interbaseravendb.net/­docs
DeveloperExasolGoogleThomas MuellerEmbarcaderoHibernating Rhinos
Initial release20002017200519842010
Current release2.2.220, July 2023InterBase 2020, December 20195.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoAGPL version 3, commercial license available
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 languageJavaCC#
Server operating systemshostedAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoexport as XML data possible
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011yesyesSQL-like query language (RQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
Go
Java
JavaScript (Node.js)
Python
Java.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Procedures and User-Defined Functionsyes infoInterbase procedure and trigger languageyes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.With clustering: 2 database servers on different computers operate on identical copies of a databaseInterbase Change ViewsMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoMultiversion concurreny controlyes
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
EXASOLGoogle Cloud SpannerH2InterbaseRavenDB
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