DalmatinerDB vs ZeroDB

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DalmatinerDB
DalmatinerDB

5
5
+ 1
1
ZeroDB
ZeroDB

3
9
+ 1
1
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DalmatinerDB vs ZeroDB: What are the differences?

What is DalmatinerDB? A fast, distributed metric store. DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

What is ZeroDB? 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.

DalmatinerDB and ZeroDB belong to "Databases" category of the tech stack.

DalmatinerDB and ZeroDB are both open source tools. It seems that ZeroDB with 1.58K GitHub stars and 99 forks on GitHub has more adoption than DalmatinerDB with 696 GitHub stars and 45 GitHub forks.

What is DalmatinerDB?

DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

What is ZeroDB?

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.
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        What tools integrate with DalmatinerDB?
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            What are some alternatives to DalmatinerDB and ZeroDB?
            InfluxDB
            InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
            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 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.
            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.
            Microsoft SQL Server
            Microsoft¬ģ SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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