MariaDB VS Aerospike

MariaDB

MariaDB [1] is a community developed fork of MySQL, so you can feel free to use that in place of MySQL.

Another alternative would be Percona [2] which is a drop-in replacement for Oracle MySQL.

About PostgreSQL I haven't had that much of personal experience with it, but for sure I plan to learn it, because it has been battle-tested for years with lots of well-known projects, such as Django framework, for instance.

[1] https://github.com/MariaDB/server

[2] https://github.com/percona/percona-server

aka mariadb-dumpslow (aka mysqldumpslow) or pt-query-digest

My recollection is that it was created when Oracle took over MySQL in order to continue to have a community-driven GPLv2 "mysql compatible" server; I was expecting them to be more different than they are, but for comparison one is a "clean" GPLv2" and the other has more words and a link to oracle.com: https://github.com/mysql/mysql-server/blob/mysql-8.0.31/LICE... https://github.com/MariaDB/server/blob/mariadb-10.11.1/COPYI...

git clone --recursive --depth 1 --branch 10.5 https://github.com/MariaDB/server.git cmake . # needs cmake3 make make install

RUN git clone \ --branch mariadb-10.5.15 \ --depth 1 \ --recurse-submodules \ https://github.com/mariadb/server.git \ ~/server

Hi everyone! Our team just released EdgelessDB, an open-source database built on MariaDB that runs completely inside Intel SGX enclaves. As storage engine, it uses RocksDB with a custom encryption engine. The engine uses AES-GCM and is optimized for RocksDB’s specific SST file layout and the enclave environment. It has some nice properties like global confidentiality and verifiability and it considers strong attackers like malicious admins or rootkits. It also delivers rather low overheads (<10% for the TPC-C benchmark on Azure). In short: all data is only ever decrypted inside the enclave. This is different from other databases, where data and corresponding keys are processed in the clear in memory. We believe this is useful because (1) it’s very secure and (2) it enables some interesting use cases, like secure data pooling between parties. If you’re interested in trying it out: here’s a quickstart guide. In essence, you can run the Docker image with a single command on any recent Intel Xeon with SGX. Code and more info can be found on GitHub. Would be great to get your feedback on this :-)

MariaDB has 268 contributors vs 83 contributors to MySQL *

Aerospike for LINQPad 7 is a data context dynamic driver for interactively querying and updating an Aerospike database using “LINQPad”. The driver is free. For more information go to this blog post. You can directly download the driver from the LINQPad NuGet manager.

Aerospike is a real-time cloud structured platform with good performance capabilities. This IMDB platform allows enterprises to perform their operations in real time through the hybrid memory and parallelism model.

Block storage stores a sequence of bytes in a fixed size block (page) on a storage device. Each block has a unique hash that references the address location of the specified block. Unlike a filesystem, block storage doesn't have the associated metadata such as format-type, owner, date, etc. Also, block storage doesn’t use the conventional storage paths to access data like a filesystem file. This reduction in overhead contributes to improved overall access speeds when using raw block devices. The ability to store bytes in blocks allows applications the flexibility to decide how these blocks are accessed and managed, making block storage an ideal choice for low latency databases such as Aerospike. From a developer's perspective, a block device is simply a large array of bytes, usually with some minimum granularity for reads and writes. In Aerospike this granularity is configured and referred to as the write-block-size. The Aerospike Kubernetes Operator uses the storage infrastructure software inside of Kubernetes and the need for data platforms to use raw block storage becomes ever more important.

This example shows how the Aerospike database can be easily and scalably used to store industrial time series data made available by the MQTT ecosystem. Aerospike plus its Community Time Series Client streamlines the storage and retrieval of the data, supporting the ability to both write and read millions of data points per second if required.

Real-time large-scale JSON applications need reliably fast access to data, high ingest rates, powerful queries, rich document functionality, scalability with no practical limit, always-on operation, and integration with streaming and analytical platforms. They need all this at low cost. The Aerospike Real-time Data Platform provides all this functionality, making it a good choice for building such applications. The Collection Data Types (CDTs) in Aerospike provide powerful support for modeling, organizing, and querying a large JSON document store. Visit the tutorials and code sandbox on the Developer Hub to explore the capabilities of the platform, and play with the Document API and query capabilities for JSON.