Redis (Remote DIctionary Server) is an advanced NoSQL key-value data store used as a database, cache, and message broker. Redis is known for its fast read and writes operations, rich data types, and advanced memory structure. It is ideal for developing high-performance, scalable web applications.

Redis is one of the most popular key-value databases, ranking at #4 in user satisfaction for NoSQL databases. The popularity of Redis continues to rise, and many companies are seeking Redis developers for roles like database administrator and beyond.

In this tutorial, we will introduce you to Redis and show you everything you need to get started.

Apache Cassandra™ is the only distributed NoSQL database that delivers always-on availability, blisteringly fast read-write performance, and unlimited linear scalability that enable you to meet the demands of the successful modern applications.

Cassandra and Redis both are ordinarily utilized for bringing and putting away colossal information exceptionally quickly and assisting with finishing live spilling with enormous information without any problem.

As Cassandra is an Apache item, so one of the incredible advantages of utilizing Cassandra is it support Hive QL (SQL-like sentence structure). Cassandra following the design of a typical segment/table organization arranged data set which is especially very much upheld by the recorded RDMS. It additionally does not uphold full CAP (Consistency, Availability, and Partition Tolerance), can think about as old as (accessibility and parcel resilience). Assume you have a business necessity to compose or store more information into the framework rather than read information, then, at that point, Cassandra will be one of the great choices. That is the reason Cassandra is excessively well known for certain particular businesses like banking or monetary where the typical demeanor to composing more than perusing (considering whole information including exchange information).

Redis is faster than Cassandra in form of big data fetching and storing especially in the case of live streaming. Redis normally maintained a disk backed in-memory database. It normally maintained master-slave architecture (as the following a line with Hadoop Architecture). And the very interesting point, it mainly followed CP (means consistency and Partition Tolerance) in CAP (Consistency, Availability, and Partition Tolerance) theorem. If an organization really have rapid changing huge data then it will be great to use Redis without thinking any other option. But as Radis mainly in memory database it should have some approximate data size estimation, which considering memory size and all. For any kind of analytics with real data and integrate real-time data streaming with huge data, Redis always be a great option to any industry.

Now it is one of the big concern for any software architect to choose an exact tool for processing huge live date based on industry requirement. Sometimes for one specific organization have two different kinds of requirements where may need to follow both Cassandra vs Redis.

Key Differences Between Cassandra and Redis

Below are the lists of points, describe the key differences between Cassandra and Redis:

Cassandra has been preferable to write more and read less situation. Whereas Redis always used for rapidly changed data on both write and read.

Cassandra can hold huge data in a tabular format which support Hive QL (SQL like language), whereas Redis store the data as a key-value pair which normally not supported any SQL like language.

Cassandra entirely has written in Java language, whereas Redis written in C, C++.

Cassandra normally followed disk-bound in-memory database, whereas Redis following disk backed in-memory database.

Compare to CAP (Consistency, Availability, and Partition Tolerance) theorem, Cassandra following AP (Availability and Partition Tolerance) whereas Redis following CP (Consistency and Partition Tolerance).

Disk swap can be possible for Cassandra, so have importance on VM or Disk store, whereas VM and Disk Store are abandoned for Redis as currently, disk swap is not available for Redis.

Cassandra is a tune able trade-off policy in case of distribution and replication (N, R, W). Whereas Redis following proper Master-Slave replication in-memory database.

As Cassandra supported normal query type language, so query by column or range of verities keys or any data searching criteria can be easily reachable. Whereas Redis always returning simple value or hash tables by key as it stored data as key-value pair always.

Cassandra following big table like features, it holding column or column families for the list of data. Whereas Redis doesn’t have column concept, it stored data as key-value pair always.

For executing any range queries Redis will be always better as it has sorted set option with high score table structure, whereas for Cassandra need to write a proper query to fetch those data which is costly and not much fast like Redis.

Redis has some special utility like has set, has lists, has hashes which help for doing union, difference, inter-sector, returning queue or blocking POP, returning an object of multiple fields. Whereas for Cassandra we always need to write queries to do the same.

Below is the comparison table between Cassandra and Redis:

Main Utility: Store huge datasets easily almost like SQL.

Best Used : If the requirement to write data more than reading, then Cassandra is always a wonderful option any time. And if all the component of provided system set up in Java then again Apache stuff like Cassandra will be an automatic choice.

Example: Industry where mainly requirement to write faster than read always, as for example Banking, Financial Industry.

Main Utility: Storing and reading huge data are very fast.

Protocol: Telnet like and always binary safe.

Best Used : If a requirement of changing huge data very frequently and rapidly then Redis is the correct option to choose always. But database size for Redis always be foreseeable, size should be maintained as per memory size.

Example: If a requirement of changing huge data very frequently and rapidly then Redis is the correct option to choose always. But database size for Redis always be foreseeable, size should be maintained as per memory size.

Whereas Redis always used for rapidly changed data on both write and read. Cassandra can hold huge data in a tabular format which support HiveQL (SQL like language), whereas Redis store the data as a key-value pair which normally not supported any SQL like language.

This article explains to you the main differences between Cassandra vs Redis

Cassandra vs Redis 

An intermediary, otherwise called A proxy, also known as a proxy server, is an intermediary, either virtual or real, through which all internet traffic from your computer or a web server is routed. The proxy assigns requests from your computer to a new IP address, thereby anonymizing your browsing experience. server, I a delegate, either virtual or genuine, through which all web traffic from your PC or a web server is steered. The intermediary allots demands from your PC to another IP address, subsequently anonymizing your perusing experience. In a world where internet fraud cases rampantly involve identity theft, proxies’ can go a long way in protecting your identity. Cybersecurity proxies are used in myriad applications.

Types of Proxies for Cybersecurity Operations :

To safeguard your home or business against cybercriminals, you can pick either private intermediaries or datacenter intermediaries. Datacenter intermediaries are quick. They additionally offer limitless data transmission, elite execution, and unequaled uptime.

Residential proxies, on the other hand, are ideal in situations where you want to remain completely anonymous by accepting the IP address of a person/person. Residential proxies offer access to geo-restricted content/websites that would otherwise be accessible if a location-specific IP address was not used. Significantly, and as we will explain later, you can use reverse proxies and transparent proxies for cyber security operations.

In this respect, the only ideal for each such specific use. That said, how does each of these proxies find their usefulness in cybersecurity activities? Let's answer this in a little more detail.

You can use a cybersecurity proxy for the following operations:

Distributed denial of service (DDoS) protection

Preventing ransomware attacks and data breaches

Email phishing alludes to a type of cybercrime where lawbreakers imitate associations through messages or instant messages. They do this to take cash or accreditations of clients' records. What's more, email phishing may likewise prompt malware and ransomware assaults, prompting a large number of dollars in misfortunes.

To forestall this, associations can utilize intermediary servers. Intermediaries for email assurance work with consistent scratching, which searches messages for unsafe substances or connections. Therefore, they keep perilous messages from coming to inboxes. Datacenter intermediaries must be liked for this errand because of their superior presentation, speed, and uptime.

Aside from utilizing intermediaries, organizations ought to likewise put resources into sufficient ransomware security. Our ransomware availability agenda is an incredible spot to begin. Those associations that are truly significant with regards to their network safety stance would likewise well test their occurrence reaction plans with explicit ransomware tabletop works out.

Duplicating is a scourge that costs organizations billions in lost income. Culprits of this wrongdoing embrace brand or wholesale fraud. To begin with, they make counterfeit items that they then, at that point, bundle utilizing enrolled brand names of known brands and organizations. At last, the forgers sell the items as certifiable through either online business outlets or physical stores.

Luckily, organizations can screen postings of the said items utilizing intermediary servers. Indeed, intermediaries offer admittance to geo-hindered sites. This is the way - Usually, intermediary specialist organizations have an immense pool of IP addresses for every intermediary type. These pools contain IP addresses from various topographical areas. All things considered, by utilizing intermediary servers, organizations access content that is intended to be displayed to inhabitants of specific nations.

This, along with the performance and speed features of datacenter proxies, helps businesses secure their brands. Note that for this particular application, datacenter proxies are better than residential proxies.

3. Prevention of Distributed Denial of Service (DDoS) Attacks

A DDoS attack is a malicious attempt to disrupt the functioning of a website An attacker usually sends a huge number of requests - more than the server can handle - so it is irresistible.

To forestall DDoS assaults, organizations should utilize a substance conveyance organization (CDN). A CDN is an organization of intermediary servers conveyed in various regions. Every one of the intermediaries inside the CDN as a rule has the site's substance. Hence, a guest wishing to get to the website gets associated with the closest intermediary, from where they will download the ideal substance.

Simultaneously, switch intermediaries can forestall DDoS assaults. A converse intermediary is situated on the server's finish of the web association. This safeguards the server against assaults by putting away consistently got gotten-website pages in a store for simple recovery upon demand. It is made by designing the server as needs be.

4. Prevention of Attacks and Data Breaches

It is worth noting that phishing extends beyond email. Cybercriminals often set up entire scam phishing websites whose URLs resemble real business URLs. In Q1 2021 alone, a total of 611,877 phishing sites were recorded, 269% more than in Q1 2020.

Such sites aim to harvest credentials from unsuspecting users. With fast and powerful data center proxies, however, companies can undertake web scraping to identify and stop phishing sites from operating.

Companies can use transparent proxies to block websites that contain malware. This type of proxy allows users to connect to other secure websites. In this regard, users may not notice their existence in a network, hence the name transparent proxies.

Proxy servers provide an extra layer of protection against scams and Internet fraud. Importantly, you can use different types of proxies for cybersecurity operations. However, some, such as datacenter proxies, are preferred because of their speed, high uptime, and unmatched performance. That said, you can use reverse proxies and transparent proxies to protect your server or network from DDoS attacks and malware attacks, respectively.

Statistics point to a growing number of cybercrime cases across the world, which has led to unprecedented losses for both businesses and individuals.

Why is a proxy server important for cyber security?

I have 4 nodes cassandra cluster running on data centre. We want to move from data centre to AWS. After internal discussion , we decided to move cassandra data from data centre to newly created cassandra cluster on AWS. Data size is around 150 gb. What is the best load/dump approach should be taken for this. Cassandra version is pretty old (1.2.9) 

Migrate cassandra from data centre to cassandra on AWS 

What is the query syntax for getting the list of all previously created tables? And how can I then view selected table fields? 

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