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DBMS > Datomic vs. Google Cloud Spanner vs. Hypertable vs. OpenEdge vs. Tarantool

System Properties Comparison Datomic vs. Google Cloud Spanner vs. Hypertable vs. OpenEdge vs. Tarantool

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHypertable  Xexclude from comparisonOpenEdge  Xexclude from comparisonTarantool  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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.An open source BigTable implementation based on distributed file systems such as HadoopApplication development environment with integrated database management systemIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitewww.datomic.comcloud.google.com/­spannerwww.progress.com/­openedgewww.tarantool.io
Technical documentationdocs.datomic.comcloud.google.com/­spanner/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.tarantool.io/­en/­doc
DeveloperCognitectGoogleHypertable Inc.Progress Software CorporationVK
Initial release20122017200919842008
Current release1.0.6735, June 20230.9.8.11, March 2016OpenEdge 12.2, March 20202.10.0, May 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
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 languageJava, ClojureC++C and C++
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
Solaris
Windows
BSD
Linux
macOS
Data schemeyesyesschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesnoyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.nonoyesno
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011noyes infoclose to SQL 92Full-featured ANSI SQL support
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
C++ API
Thrift
JDBC
ODBC
Open binary protocol
Supported programming languagesClojure
Java
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnonoyesLua, C and SQL stored procedures
TriggersBy using transaction functionsnonoyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardinghorizontal partitioning infosince Version 11.4Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication with 3 replicas for regional instances.selectable replication factor on file system levelSource-replica replicationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationnoACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnonoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers and groupsAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
DatomicGoogle Cloud SpannerHypertableOpenEdgeTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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