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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Google Cloud Spanner vs ZeroDB

Google Cloud Spanner vs ZeroDB

OverviewComparisonAlternatives

Overview

ZeroDB
ZeroDB
Stacks4
Followers25
Votes1
Google Cloud Spanner
Google Cloud Spanner
Stacks57
Followers117
Votes3
GitHub Stars2.0K
Forks1.1K

ZeroDB vs Google Cloud Spanner: What are the differences?

Developers describe ZeroDB as "Moving on-premise databases to the cloud, cheaply and securely". ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway. Data at rest and in use is secure - the cloud is no longer a single point of failure. On the other hand, Google Cloud Spanner is detailed as "Fully managed, scalable, relational database service for regional and global application data". It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.

ZeroDB and Google Cloud Spanner can be primarily classified as "Databases" tools.

Some of the features offered by ZeroDB are:

  • End-to-End DB Encryption
  • Queries Over Encrypted Data
  • Direct Cloud Sharing

On the other hand, Google Cloud Spanner provides the following key features:

  • Global transactions
  • Strongly consistent reads
  • Automatic multi-site replication

ZeroDB is an open source tool with 1.58K GitHub stars and 100 GitHub forks. Here's a link to ZeroDB's open source repository on GitHub.

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Detailed Comparison

ZeroDB
ZeroDB
Google Cloud Spanner
Google Cloud Spanner

ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway. Data at rest and in use is secure - the cloud is no longer a single point of failure.

It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.

End-to-End DB Encryption; Queries Over Encrypted Data; Direct Cloud Sharing
Global transactions; Strongly consistent reads; Automatic multi-site replication; Failover.
Statistics
GitHub Stars
-
GitHub Stars
2.0K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
4
Stacks
57
Followers
25
Followers
117
Votes
1
Votes
3
Pros & Cons
Pros
  • 1
    We're in financial services & secure DBs are critical
Pros
  • 1
    Scalable
  • 1
    Horizontal scaling
  • 1
    Strongly consistent
Integrations
No integrations available
MySQL
MySQL
PostgreSQL
PostgreSQL
MongoDB
MongoDB
SQLite
SQLite

What are some alternatives to ZeroDB, Google Cloud Spanner?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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