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DBMS > EJDB vs. etcd vs. Google Cloud Spanner vs. Hazelcast vs. UniData,UniVerse

System Properties Comparison EJDB vs. etcd vs. Google Cloud Spanner vs. Hazelcast vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHazelcast  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed reliable key-value storeA 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 widely adopted in-memory data gridMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeKey-value storeRelational DBMSKey-value storeMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitegithub.com/­Softmotions/­ejdbetcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­spannerhazelcast.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­spanner/­docshazelcast.org/­imdg/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperSoftmotionsGoogleHazelcastRocket Software
Initial release2012201720081985
Current release3.4, August 20195.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoJavaC
Server operating systemsserver-lessFreeBSD
Linux
Windows infoexperimental
hostedAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyesyesoptional
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.nonoyes infothe object must implement a serialization strategy
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011SQL-like query languageyes
APIs and other access methodsin-process shared librarygRPC
JSON over HTTP
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnononoyes infoEvent Listeners, Executor Servicesyes
Triggersnoyes, watching key changesnoyes infoEventsyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication with 3 replicas for regional instances.yes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoStrict serializable isolationone or two-phase-commit; repeatable reads; read commitedACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.nonoyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlAccess rights according to SQL-standard and operating system based

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More resources
EJDBetcdGoogle Cloud SpannerHazelcastUniData,UniVerse
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